Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@fastroute recommend skills for sending email with Node.js"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Local MCP plugin: when an agent receives a new task, retrieve Top-N recommendations from all locally installed skills (user-level/plugin-level/project-level). It only recommends, never executes.
The indexing method comes from SkillRouter (arXiv 2603.22455): all-field segmented multi-vector (one vector for name+description + one vector for each ~800-character chunk of body text); for a query, cosine similarity is computed against each chunk, and skill scores are max-pooled.
Tool | Purpose |
| Retrieves the most relevant skill before a task starts; returns score, tier (auto/prompt/skip, reference values), invocation name and path |
| Incrementally rebuilds the index after installing/removing skills (mtime diff); no session restart needed |
Related MCP server: skills-mcp-server
claude mcp add fastroute -- node /absolute/path/to/fastroute/dist/index.jsData directory ~/.fastroute (overridden by FASTROUTE_DATA_DIR): fastroute.db, config.json, models/
Embedding model: Xenova/paraphrase-multilingual-MiniLM-L12-v2 (q8, ~135 MB), downloaded online when the tool is first invoked; defaults to the ModelScope mirror (FASTROUTE_EMBEDDING_HOST can point back to https://huggingface.co); if a ~/.knowyoubetter/models cache already exists, it is reused directly
The model is a hard dependency: when offline and no cache is available, the tool returns an error and download instructions; there is no lexical fallback
config.json can override: chunkSize(800), autoThreshold(0.9), promptThreshold(0.6), topK(5), userSkillsDir, pluginCacheDir, projectSkillsEnabled
After changing chunkSize, existing indexes are not automatically re-chunked: delete ~/.fastroute/fastroute.db and then call reindex_skills
npm install
npm test # 单测 + 集成（fake embedder，不联网）
npm run test:real # 真实 embedding 冒烟（首次下载模型）
npm run eval # distractor 评测：Hit@1/Hit@5/MRR
npm run build
npx @modelcontextprotocol/inspector node dist/index.jsThis server cannot be deployed
A registry of 5,900+ peer-authored skills any MCP agent can search and load on demand.
Search and discover Agent Skills from the skills.sh registry. Powered by HAPI MCP server.
MCP Server for an Agent Task Marketplace
The CustomGPT.ai MCP server is a fully managed, RAG-powered endpoint that connects large language models with private knowledge bases and external data sources. It provides tools for retrieval-augmented generation queries (send_message), data ingestion (upload_file), and source listing, enabling AI agents to query private documents like PDFs with high accuracy and real-time citations.
