io.github.carlisia/mcp-factcheck
平台与服务by carlisia
基于 semantic search 与 AI 的 MCP 服务器,可按 MCP specification 对内容进行校验与一致性检查。
什么是 io.github.carlisia/mcp-factcheck?
基于 semantic search 与 AI 的 MCP 服务器,可按 MCP specification 对内容进行校验与一致性检查。
README
MCP Fact-Check MCP Server
An MCP Server for validating code or content against the official Model Context Protocol (MCP) specification to ensure technical accuracy and prevent the spread of misinformation.
📦 View in MCP Registry - Available in the official MCP Registry
📋 View Project Roadmap - See planned features and development progress
🏗️ Design Documentation - Technical design and implementation details
Overview
The MCP Fact-Check MCP Server helps ensure technical accuracy when coding or writing about MCP by comparing content against official specifications. It uses:
- Semantic search with OpenAI embeddings to find relevant specification sections
- AI-powered validation to detect inaccuracies and suggest corrections
- Compound claim decomposition to validate complex statements with multiple assertions
- Multiple spec versions support (draft, 2025-06-18, 2025-03-26, 2024-11-05)
Features
MCP Tools Exposed
-
check_mcp_claim- Comprehensive validation of MCP-related content- Validates multi-claim content (documentation, tutorials, bullet points)
- Automatically decomposes compound claims (e.g., "X and Y") for accurate validation
- Provides step-by-step validation workflow
- Identifies missing best practices and modal verb issues
- Returns corrected content with confidence scores
-
check_mcp_quick_fact- Quick fact-checking for single MCP claims- Validates single sentences or quick questions
- Returns concise ✓/✗ verdict with explanation
- Uses aggressive search strategies for accuracy
- Perfect for "Does MCP support X?" questions
-
search_spec- Searches MCP specifications using semantic similarity- Returns most relevant specification sections
- Supports all specification versions
-
list_spec_versions- Lists available MCP specification versions- Shows version dates and descriptions
- Indicates which version is current
MCP Prompts Available
-
migrate-mcp-content- Guides content migration between MCP specification versions- Validates content against source specification first
- Identifies changes between specification versions
- Provides step-by-step migration guidance
- Works with any type of MCP-related content
- Preserves the original tone, style, and voice when making corrections or suggestions
Parameters:
current_version(required): Source MCP specification version (e.g., "2024-11-05", "2025-06-18")target_version(required): Target MCP specification version to migrate to (e.g., "draft")update_scope(optional): Determines how aggressive the migration should becritical_only: Fix only critical inaccuracies and breaking changes (minimal changes)enhancement_focused: Fix issues and improve clarity, align with best practicescomprehensive: Complete review with all improvements and enhanced clarity- Default:
comprehensive
Installation
The MCP Fact-Check server is available through the Model Context Protocol registry. Install it directly from your MCP client:
For Claude Desktop and other MCP clients:
- Search for "mcp-factcheck" in your client's server marketplace
- Click install
- Provide your OpenAI API key when prompted
That's it! The server will be automatically configured and ready to use.
For developers: If you need to build from source or contribute to the project, see INSTALL.md for development setup instructions.
Observability
Visual Tracing with Arize Phoenix
For a beautiful, AI-focused trace visualization UI, set up Arize Phoenix:
- Install and start Phoenix:
# Install Phoenix
pipx install arize-phoenix
# Start Phoenix server
phoenix serve
- Update the Host config to send traces to Phoenix:
{
"mcpServers": {
"mcp-factcheck": {
"command": "/path/to/bin/mcp-factcheck-server",
"args": [
"--data-dir",
"/path/to/data/embeddings",
"--telemetry",
"--otlp-endpoint",
"http://localhost:6006"
],
"env": {
"OPENAI_API_KEY": "your-api-key"
}
}
}
}
- View traces at: http://localhost:6006
What you'll see in Phoenix:
- Beautiful AI-focused interface designed for LLM applications
- Complete validation pipeline timeline with clear visual hierarchy
- Embedding generation performance and OpenAI API call tracking
- Vector search visualization with similarity scores
- Per-chunk validation confidence levels and quality metrics
- Cost tracking for OpenAI API usage (or whichever llm is being used for embedding the input content/code)
- Clean, intuitive navigation focused on AI workflows
Phoenix is specifically designed for AI/ML observability and provides a much more user-friendly experience than traditional tracing tools.
Development
Building
# Build all components
go build -o bin/mfc ./cmd/server
go build -o bin/specloader ./utils/cmd
# Run tests
go test ./...
Updating Specifications
The project includes pre-extracted MCP specifications and embeddings for all versions. To check when the draft specification was last updated, see data/SPEC_METADATA.json:
# View draft update information
cat data/SPEC_METADATA.json | jq '.specs.draft'
To update the draft specification:
./bin/specloader spec --version draft
./bin/specloader embed --version draft
./bin/specloader embed --version draft-fine
To add a new specification version:
./bin/specloader spec --version 2025-12-15
./bin/specloader embed --version 2025-12-15
./bin/specloader embed --version 2025-12-15-fine
All specification extraction dates and source commits are automatically tracked in data/SPEC_METADATA.json.
Testing Tools
Test the server using the included test client:
# Build test client
go build -o bin/factcheck-curl ./cmd/factcheck-curl
# Test tools
./bin/factcheck-curl --cmd ./bin/mfc --data-dir ./data/embeddings tools/list
./bin/factcheck-curl --cmd ./bin/mfc --data-dir ./data/embeddings tools/call validate_content '{"content":"MCP is a protocol"}'
# Test prompts
./bin/factcheck-curl --cmd ./bin/mfc --data-dir ./data/embeddings prompts/list
# Get migration prompt with minimal parameters
./bin/factcheck-curl --cmd ./bin/mfc --data-dir ./data/embeddings prompts/get migrate-mcp-content '{"current_version":"2024-11-05","target_version":"draft"}'
# Get migration prompt with all parameters
./bin/factcheck-curl --cmd ./bin/mfc --data-dir ./data/embeddings prompts/get migrate-mcp-content '{
"current_version": "2024-11-05",
"target_version": "2025-06-18",
"update_scope": "critical_only"
}'
Architecture
See DESIGN.md for the complete architecture documentation.
Environment Variables
OPENAI_API_KEY- Required for embedding generation and content validationGITHUB_TOKEN- Optional, for higher GitHub API rate limits when extracting specs
License
MIT License. See LICENSE for details.
常见问题
io.github.carlisia/mcp-factcheck 是什么?
基于 semantic search 与 AI 的 MCP 服务器,可按 MCP specification 对内容进行校验与一致性检查。
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