MCP server
Mesh
io.github.pipeworx-io/mesh
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
NLM MeSH (Medical Subject Headings) MCP.
Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 26,889 tokens per request once connected45 tools
https://gateway.pipeworx.io/mesh/mcp
At a glance
- Type
- MCP server
- Publisher
- pipeworx.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 45
- Token cost
- About 26,889 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http mesh https://gateway.pipeworx.io/mesh/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.mesh] url = "https://gateway.pipeworx.io/mesh/mcp"
Gemini CLI
{"mcpServers":{"mesh":{"httpUrl":"https://gateway.pipeworx.io/mesh/mcp"}}}
Cursor
{"mcpServers":{"mesh":{"url":"https://gateway.pipeworx.io/mesh/mcp"}}}
VS Code
{"servers":{"mesh":{"type":"http","url":"https://gateway.pipeworx.io/mesh/mcp"}}}
Antigravity
agy mcp add mesh https://gateway.pipeworx.io/mesh/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"mesh","server_url":"https://gateway.pipeworx.io/mesh/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"mesh","server_url":"https://gateway.pipeworx.io/mesh/mcp"}
Tools
get_descriptor~163 tokens
Get full detail for a MeSH descriptor by its ID (e.g. "D003920" = Diabetes Mellitus): its preferred label, entry terms (synonyms MeSH indexes under it), allowable qualifiers (subheadings like "drug therapy", "epidemiology"), and related see-also headings. Keyless.resolve_term~181 tokens
Map a free-text term or everyday synonym to its canonical MeSH descriptor(s) — the preferred heading to use when searching PubMed. Tries an exact descriptor match first; if none, falls back to a fuzzy contains match (flagged fuzzy). Keyless.search_descriptors~242 tokens
Search NLM MeSH descriptors by a disease/drug/concept term (e.g. "diabetes", "aspirin", "myocardial infarction"). Returns the matching MeSH descriptor IDs (Dxxxxxxx) — the controlled-vocabulary headings used to index PubMed. The core free-text-to-MeSH lookup. Keyless.
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