MCP server for the Openlayer platform
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"openlayer-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# Openlayer MCP [Model Context Protocol](https://modelcontextprotocol.io) server for the [Openlayer](https://www.openlayer.com) platform. It lets MCP clients — Cursor, VS Code, Claude Desktop, and other AI assistants — work with Openlayer in natural language. With it, an assistant can: - **Projects & versions** — list and create projects; push and inspect commits. - **Data sources** — list, create, and inspect data sources (inference pipelines), and fetch their production traces, sessions, and per-user activity, with filters; comment on traces as the connected user. - **Tests** — list and create tests across integrity, consistency, and performance (including LLM-as-a-judge), trigger evaluation, read results, and drill into the rows that failed. - **Anything else** — call any Openlayer API endpoint directly, and search the Openlayer documentation. Tools are annotated as read-only or destructive, so clients can auto-approve reads and confirm writes. > Tool names and schemas may evolve; clients should discover the available tools > dynamically rather than hard-coding them. 📖 **Full setup, the complete tool reference, and examples:** **[openlayer.com/docs/openlayer-mcp](https://www.openlayer.com/docs/openlayer-mcp)** ## Installation ```bash uv add openlayer-mcp # or: pip install openlayer-mcp ``` ## Configuration Register the server with your client and set your API key. **Claude Code** (CLI): ```bash claude mcp add openlayer --env OPENLAYER_API_KEY=YOUR_OPENLAYER_API_KEY -- uvx openlayer-mcp ``` **Cursor, Claude Desktop, or VS Code** (JSON config): ```json { "mcpServers": { "openlayer": { "command": "uvx", "args": ["openlayer-mcp"], "env": { "OPENLAYER_API_KEY": "YOUR_OPENLAYER_API_KEY" } } } } ``` - **`OPENLAYER_API_KEY`** (required) — create one in your Openlayer workspace settings. - **`OPENLAYER_BASE_URL`** (optional) — point at a self-hosted Openlayer instance; defaults to Openlayer Cloud…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.