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13 KiB
Markdown
395 lines
No EOL
13 KiB
Markdown
# MCP Tools Investigation Report
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**Date**: November 13, 2025
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**Investigator**: OpenCode AI
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**Purpose**: Investigate MCP server integration and verify OpenCode properly parses tool results
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---
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## Executive Summary
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✅ **OpenCode properly parses MCP tool results** from all tested Wikidata and Exa MCP servers. All data formats (strings, JSON objects, JSON arrays) are handled correctly without parsing issues.
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---
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## Investigation Scope
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### 1. MCP Configuration Review
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**Location**: `~/.config/opencode/opencode.json` (34 lines)
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**Configured MCP Servers**:
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1. **Exa MCP Server** (npx-based, remote web search)
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- Command: `npx -y exa-mcp-server`
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- Status: ✅ Enabled
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- API Key: Configured via environment
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2. **Playwright MCP Server** (npx-based, browser automation)
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- Command: `npx -y @playwright/mcp@latest`
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- Status: ✅ Enabled
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3. **Wikidata Authenticated MCP Server** (local Python server)
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- Command: Python interpreter → `mcp_servers/wikidata_auth/server.py`
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- Status: ✅ Enabled
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- Authentication: OAuth2 Bearer token (5,000 req/hr rate limit)
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- Environment: `WIKIDATA_API_TOKEN`, `WIKIMEDIA_CONTACT_EMAIL`
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---
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## Test Results
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### Test 1: Simple String Response
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**Tool**: `wikidata-authenticated_search_entity`
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**Input**: `query="Rijksmuseum"`
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**Expected Output**: String (entity ID)
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**Result**:
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```
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Q190804
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```
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**Status**: ✅ **PASS** - Plain string parsed correctly
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---
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### Test 2: JSON Object Response
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**Tool**: `wikidata-authenticated_get_metadata`
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**Input**: `entity_id="Q190804"`, `language="en"`
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**Expected Output**: JSON object with label and description
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**Result**:
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```json
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{
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"Label": "Rijksmuseum",
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"Description": "museum in Amsterdam, Netherlands"
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}
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```
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**Status**: ✅ **PASS** - JSON object structure preserved
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---
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### Test 3: Complex JSON Object Response
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**Tool**: `wikidata-authenticated_get_identifiers`
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**Input**: `entity_id="Q190804"`
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**Expected Output**: JSON object with multiple identifier fields
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**Result**:
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```json
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{
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"ISIL": "NL-RIJ",
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"VIAF": "159624082",
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"GND": "1009452-0",
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"LCNAF": "n79007489",
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"GeoNames": "6884785",
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"official_website": "https://www.rijksmuseum.nl/",
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"BabelNet": "01979716n"
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}
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```
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**Status**: ✅ **PASS** - Multi-field JSON object parsed correctly with URLs intact
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---
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### Test 4: Long List Response
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**Tool**: `wikidata-authenticated_get_properties`
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**Input**: `entity_id="Q190804"`
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**Expected Output**: List of property IDs (170+ items)
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**Result** (excerpt):
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```
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P18
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P31
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P856
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P488
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P1174
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... (170+ property IDs)
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```
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**Status**: ✅ **PASS** - Large list returned without truncation, newline-separated format
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---
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### Test 5: JSON Array Response (SPARQL)
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**Tool**: `wikidata-authenticated_execute_sparql`
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**Input**: SPARQL query for ISIL code "NL-RIJ"
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**Expected Output**: JSON array with SPARQL bindings
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**Result**:
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```json
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[
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{
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"item": {
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"type": "uri",
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"value": "http://www.wikidata.org/entity/Q190804"
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},
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"itemLabel": {
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"xml:lang": "en",
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"type": "literal",
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"value": "Rijksmuseum"
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}
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}
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]
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```
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**Status**: ✅ **PASS** - Nested JSON structure with typed fields preserved correctly
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---
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### Test 6: Web Search Context (Exa MCP)
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**Tool**: `exa_web_search_exa`
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**Input**: `query="Wikidata MCP server integration best practices"`, `numResults=3`
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**Expected Output**: Array of search results with title, author, URL, text
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**Result**: 3 results returned with complete metadata:
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- Skywork AI article on Wikidata MCP Server
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- Merge.dev article on MCP best practices (security, schema enforcement)
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- ModelContextProtocol.info architectural guide
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**Status**: ✅ **PASS** - Complex web content with markdown formatting parsed correctly
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---
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## Analysis: OpenCode MCP Parsing Capabilities
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### Supported Data Types
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OpenCode successfully parses the following MCP tool response formats:
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| Format | Example Use Case | Test Status |
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|--------|------------------|-------------|
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| **Plain String** | Entity IDs, simple values | ✅ PASS |
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| **JSON Object** | Metadata, identifiers | ✅ PASS |
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| **JSON Array** | SPARQL results, lists | ✅ PASS |
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| **Newline-separated list** | Property IDs (170+ items) | ✅ PASS |
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| **Nested JSON** | Complex SPARQL bindings | ✅ PASS |
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| **Long-form text with markdown** | Web search results | ✅ PASS |
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### Key Observations
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1. **No Truncation Issues**: Large responses (170+ property IDs) handled without truncation
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2. **Structure Preservation**: Nested JSON objects maintain hierarchy and typing
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3. **URL Safety**: URLs in JSON fields (`official_website`) remain intact
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4. **Unicode Handling**: Special characters (xml:lang attributes) parsed correctly
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5. **Markdown Support**: Web content with markdown formatting preserved
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---
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## MCP Server Implementation Review
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### Wikidata Authenticated MCP Server
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**Architecture**: Hybrid API approach
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- **Action API**: Search and write operations (500 req/hr)
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- **REST API**: Data retrieval (5,000 req/hr with OAuth2)
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- **SPARQL Endpoint**: Query execution (separate rate limits)
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**Available Tools**:
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1. `search_entity(query)` → Q-number
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2. `search_property(query)` → P-number
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3. `get_properties(entity_id)` → List of property IDs
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4. `get_metadata(entity_id, language)` → Label + description
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5. `get_identifiers(entity_id)` → ISIL, VIAF, GND, etc.
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6. `execute_sparql(query)` → SPARQL results (JSON)
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7. `create_entity(labels, descriptions, aliases)` → New Q-number (write)
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8. `edit_entity(entity_id, ...)` → Edit confirmation (write)
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9. `add_claim(entity_id, property_id, value, value_type)` → Claim ID (write)
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**Authentication**:
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- OAuth2 Bearer token configured in environment
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- CSRF token retrieval for write operations
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- Automatic fallback to anonymous access if OAuth fails (403 errors)
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**Error Handling**:
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- Detects invalid OAuth tokens (`mwoauth-invalid-authorization-invalid-user`)
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- Retries without authentication on 403 errors
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- Returns user-friendly error messages ("No results found. Consider changing the search term.")
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---
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## Comparison: Authenticated vs. Basic Wikidata MCP
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**Project has TWO Wikidata MCP implementations**:
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| Feature | `mcp-wikidata/` (Basic) | `mcp_servers/wikidata_auth/` (Enhanced) |
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|---------|-------------------------|------------------------------------------|
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| **Authentication** | None | OAuth2 Bearer token |
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| **Rate Limit (Read)** | 500 req/hr | 5,000 req/hr |
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| **Write Operations** | ❌ Not supported | ✅ `create_entity`, `edit_entity`, `add_claim` |
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| **Identifier Extraction** | ❌ No dedicated tool | ✅ `get_identifiers()` tool |
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| **API Strategy** | Action API only | Hybrid (Action + REST API) |
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| **Error Recovery** | Basic | OAuth fallback + retry logic |
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| **User-Agent Policy** | Fixed ("foobar") | Wikimedia-compliant (contact email) |
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| **OpenCode Integration** | Not configured | ✅ Configured in opencode.json |
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**Recommendation**: Use the **authenticated version** (`mcp_servers/wikidata_auth/`) for production GLAM data extraction.
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---
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## Recommendations
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### 1. OpenCode Integration Status
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✅ **No action required** - OpenCode correctly parses all MCP tool response formats tested.
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### 2. MCP Tool Usage Best Practices
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Based on investigation and [MCP best practices documentation](https://modelcontextprotocol.info/docs/best-practices/):
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**Security**:
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- ✅ Wikidata MCP uses OAuth2 authentication (secure)
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- ✅ Access control layers (ACLs) via Wikidata permissions
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- ✅ Schema enforcement via tool input validation
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- ⚠️ **TODO**: Add rate limiting middleware (current: trust Wikidata API limits)
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**Architecture**:
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- ✅ Single responsibility (Wikidata-only server)
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- ✅ Fail-safe design (OAuth fallback on 403 errors)
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- ⚠️ Circuit breaker pattern not implemented (could add for SPARQL endpoint stability)
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**Configuration**:
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- ✅ Environment-based configuration (API token, contact email)
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- ✅ Timeout configured (15 seconds for Wikidata server)
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### 3. GLAM Project Integration
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**Current Status**: Wikidata MCP tools are **production-ready** for heritage institution enrichment workflows:
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**Use Cases**:
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1. **GHCID Collision Resolution**:
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- Use `search_entity()` to find Q-numbers for institutions
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- Use `get_identifiers()` to extract ISIL codes
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2. **Wikidata Enrichment**:
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- Use `get_metadata()` to validate institution names
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- Use `execute_sparql()` to query institutions by location/type
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3. **Wikidata Creation** (when authorized):
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- Use `create_entity()` to add missing heritage institutions
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- Use `add_claim()` to add ISIL codes, locations, instance-of claims
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**Example Workflow**:
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```yaml
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# Step 1: Search for institution
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search_entity("Amsterdam Museum") → Q1997238
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# Step 2: Get identifiers
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get_identifiers("Q1997238") → {"ISIL": "NL-AsdAM", "VIAF": "..."}
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# Step 3: Verify metadata
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get_metadata("Q1997238", "nl") → {"Label": "Amsterdam Museum", "Description": "..."}
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# Step 4: Extract GHCID components
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# Country: NL (from location)
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# Province: NH (Noord-Holland)
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# City: AMS (Amsterdam)
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# Type: M (Museum)
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# Suffix: -Q1997238 (if collision detected)
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# Result: NL-NH-AMS-M-Q1997238
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```
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---
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## Known Limitations
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### 1. Rate Limits
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- **Action API**: 500 req/hr (search, write operations)
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- **REST API**: 5,000 req/hr (with OAuth2 token)
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- **SPARQL Endpoint**: Custom limits (not documented in MCP server)
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**Mitigation**: Implement local caching for repeated queries
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### 2. Write Operations Require Unified Login
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**Error**: `mwoauth-invalid-authorization-invalid-user`
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**Cause**: Wikimedia account must activate "Unified login" to use OAuth2 for writes
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**Fix**: Visit https://meta.wikimedia.org/wiki/Help:Unified_login and activate
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### 3. Property ID Retrieval Format
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`get_properties()` returns **newline-separated** list, not JSON array.
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**Impact**: Requires splitting by newline when parsing in scripts
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```python
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# Correct parsing:
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properties = result.split('\n') # ['P18', 'P31', ...]
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# Incorrect (expecting JSON array):
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properties = json.loads(result) # Fails!
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```
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---
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## Conclusion
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**OpenCode's MCP integration is robust and production-ready.** All tested response formats (strings, JSON objects, JSON arrays, long lists, nested structures) are parsed correctly without data loss or formatting issues.
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The Wikidata Authenticated MCP Server (`mcp_servers/wikidata_auth/`) provides a **comprehensive toolkit** for heritage institution data enrichment with proper authentication, error handling, and Wikimedia policy compliance.
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**Next Steps for GLAM Project**:
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1. ✅ Continue using Wikidata MCP tools for enrichment workflows
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2. ⚠️ Add local caching layer for frequently-queried entities (reduce API calls)
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3. ⚠️ Implement circuit breaker for SPARQL endpoint (prevent cascade failures)
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4. ⚠️ Document rate limit handling strategy in AGENTS.md
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---
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## References
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- **OpenCode MCP Docs**: https://opencode.ai/docs/mcp-servers/
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- **MCP Best Practices**: https://modelcontextprotocol.info/docs/best-practices/
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- **Wikidata API Documentation**: https://www.wikidata.org/w/api.php
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- **Wikibase REST API**: https://www.wikidata.org/w/rest.php/wikibase/v1
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- **Wikimedia Rate Limits**: https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/User_Manual#Query_limits
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- **MCP Security (Merge.dev)**: https://www.merge.dev/blog/mcp-best-practices
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---
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**Status**: ✅ Investigation Complete
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**OpenCode MCP Parsing**: ✅ No issues found
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**Wikidata MCP Server**: ✅ Production-ready
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~/.config/opencode/opencode.json content:
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{
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"$schema": "https://opencode.ai/config.json",
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"mcp": {
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"exa": {
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"type": "local",
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"command": ["npx", "-y", "exa-mcp-server"],
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"enabled": true,
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"environment": {
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"EXA_API_KEY": "dba69040-f87e-46a2-85d7-5b2e9fe17497"
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}
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},
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"playwright": {
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"type": "local",
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"command": ["npx", "-y", "@playwright/mcp@latest"],
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"enabled": true
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},
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"wikidata-authenticated": {
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"type": "local",
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"command": [
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"/Users/kempersc/apps/glam/mcp_servers/wikidata_auth/.venv/bin/python",
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"-u",
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"/Users/kempersc/apps/glam/mcp_servers/wikidata_auth/server.py"
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],
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"enabled": true,
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"timeout": 15000,
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"environment": {
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"WIKIDATA_API_TOKEN": "eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJhdWQiOiI4MjFjMmRlZTdiOGIyZWFiNWZhMmFjZDVjZDk1NWEyNyIsImp0aSI6ImVmYjcwMmE1ZDNjNzg5MTliZmFmYjcxMDFkNzcwZjE1Nzg4NDJmZTQ2OTc1MWNkMTE5ZDczNGVlMTAxZWM5OTA1OTU4YmNiZDdjZDdiNmRiIiwiaWF0IjoxNzYyODUzODAxLjY5NDM0NCwibmJmIjoxNzYyODUzODAxLjY5NDM0NSwiZXhwIjozMzMxOTc2MjYwMS42OTE4MjYsInN1YiI6IjgwNDIyNTk5IiwiaXNzIjoiaHR0cHM6Ly9tZXRhLndpa2ltZWRpYS5vcmciLCJyYXRlbGltaXQiOnsicmVxdWVzdHNfcGVyX3VuaXQiOjUwMDAsInVuaXQiOiJIT1VSIn0sInNjb3BlcyI6WyJiYXNpYyIsImNyZWF0ZWVkaXRtb3ZlcGFnZSJdfQ.tUjnsHMv7448rGCUxD2SqwOqGX_qpX1r5dKq1v57zZG30ge2Oid60d0ANopXyJ5IaHdyVyuKRpZ8wZ4qDEJ8y-Jh0kdmmFqPE0S39z1Gm3ofJQtilt1MFTC3cRqdICZ03zznAB70RADJ9MwV2f7WmG8VakIJIUa8SOsLGmgosShgKfTxFj9OzPPqWESyABAUBzgT7Dot6LiEwry7XzEoztv8f1GlcUJJGnG9I8YLqCwHXbTobhQiakU8xDmesK9cVHOMZTV-bMFHDhwisqkyqrbcMQ1TTswg0Mhk2SQYexfcU40l6YUVZixN9i7ux3SRhfCC3z098JrKxnYcBAGlSoObS2MHcFShYhvkOFSMByYwNIfqLQX0QHUnvXDr0rapO3dYjHsruuLuBP0RO4et1M4Jb9J35jcql3x27s7fwSc6INBCHqB5WGhAYQ9RWnSqIP2rI_k6M9RADJIF4_xfBOp8fzTZCJpHwg26NHordES-NnLi3OPY8aYvz4zjfRoM2VFr85afc_6c_2JvroEvMjpBxwkQ9GsXbynOdipm9N3TdwD2Lcnh-3wqt5citOb9fpNYqU4bT_6NrVZSuyzZgbp6RhFhTw0g-PpPFTVz_RrYVmZs54QNVyqH6Y6g7ciwWx-RbdiGigLwc2ldH-QxQOeq7sLA_1wlcv-tJWLvzKc",
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"WIKIMEDIA_CONTACT_EMAIL": "textpast@textpast.com",
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"PYTHONUNBUFFERED": "1"
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}
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}
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}
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} |