Weights & Biases documents a hosted Model Context Protocol server at `https://mcp.withwandb.com/mcp` (recommended) and an open-source `wandb/wandb-mcp-server` package for local stdio or HTTP per docs.wandb.ai/platform/mcp-server. Authenticated clients pass a W&B API key in the `Authorization: Bearer` header. Documented tools include `query_wandb_tool` and `get_run_history_tool` for experiment metrics, `query_weave_traces_tool` and `count_weave_traces_tool` for LLM traces, `create_wandb_report_tool` for markdown reports, `search_wandb_docs_tool` for docs.wandb.ai, and `query_wandb_entity_projects` for project listings. Dedicated/on-prem deployments can set `WANDB_BASE_URL` with the local server per README.
Use cases
- Ask Cursor to query failed Weave traces with `query_weave_traces_tool`
- Pull sampled loss curves via `get_run_history_tool` during debugging
- Generate W&B reports from natural-language prompts
- Search official docs with `search_wandb_docs_tool` while integrating Weave scorers
- Run local MCP with `WANDB_BASE_URL` for dedicated W&B instances
Key features
- Cursor
- Claude Desktop
- Claude Code
- VS Code
- Codex
Frequently Asked Questions
- Should I use hosted or local MCP?
- W&B docs recommend the hosted server at mcp.withwandb.com for fastest setup; local suits air-gapped or dedicated instances.
- Can this replace Langfuse for traces?
- It queries W&B Weave traces and W&B Runs—use if your telemetry already lives in W&B, not as a drop-in for other vendors.
- Is docs search included?
- Yes—`search_wandb_docs_tool` proxies docs.wandb.ai unless disabled with WANDB_MCP_PROXY_DOCS=false.
Related
Related
3 Indexed items
PostHog MCP Server
PostHog documents a free hosted Model Context Protocol endpoint at `https://mcp.posthog.com/mcp` per posthog.com/docs/model-context-protocol that lets MCP clients query analytics, manage feature flags, investigate errors, run HogQL, triage support workflows, and configure CDP destinations from natural-language prompts. The PostHog Wizard installs the server into Cursor, Claude Code, Claude Desktop, Codex, VS Code, Windsurf, and Zed via `npx @posthog/wizard@latest mcp add`. Authentication routes to the correct US or EU data region; manual setups can pass a personal API key with the MCP Server preset through `mcp-remote` and an `Authorization` Bearer header. Source lives in the PostHog monorepo at `services/mcp` (the standalone PostHog/mcp repository redirects there).
Datadog MCP Server
Datadog documents a remote Model Context Protocol server at docs.datadoghq.com/bits_ai/mcp_server that connects AI agents in Cursor, Claude Code, Codex CLI, VS Code, Gemini CLI, and other MCP clients to observability data across APM, logs, metrics, monitors, dashboards, and security signals. Setup guides describe OAuth-based connection to Datadog's hosted MCP endpoint (distinct from the local-only Code Security MCP Server used for SAST/SCA scans). Fair-use limits listed in docs include 50 requests per 10 seconds burst and 50,000 monthly tool calls; Audit Trail records MCP actions with tool name, arguments, user identity, and client, while metrics `datadog.mcp.session.starts` and `datadog.mcp.tool.usage` tag usage by client and tool.
Algolia Productivity MCP Server
Algolia documents an official managed Model Context Protocol server at algolia.com/doc/guides/model-context-protocol/productivity-mcp. Connect MCP clients to the remote HTTP endpoint `https://mcp.algolia.com/mcp` with OAuth (enable under Generate AI in the Algolia dashboard; sign in when prompted so the MCP inherits your account permissions). Productivity MCP is user-scoped and read-only per docs—tools cover search (`algolia_search_list_indices`, `algolia_search_index`, `algolia_search_for_facet_values`), Recommend (`algolia_recommendations`), and analytics helpers such as top searches, no-click rates, filter usage, and user counts. Algolia docs distinguish this from Algolia Public MCP for application-scoped, curated index exposure to external agents. Supported clients include ChatGPT, Claude, Claude Code, Cursor, Gemini CLI, VS Code, and OpenAI Playground.