Provides an MCP server to manage, build, check, and search Rust documentation locally.
Cargo Doc MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Provides an MCP server to manage, build, check, and search Rust documentation locally.
Once Cargo Doc is connected, these are the calls the assistant has available:
get_crate_doc — Get crate's main documentation page for understanding overall concepts and usageParameters — - project_path: Path to the Rust project (must be absolute path)crate_name — Name of the crate to get documentation forlist_symbols — List all symbols (structs, enums, traits, etc.) in a crate's documentationsearch_doc — Search within a crate's documentationquery — Search query (keyword or symbol)Tools — The Tools tool exposed by this serverSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
This sits in the knowledge and memory group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Cargo Doc's toolset — get_crate_doc, Parameters, crate_name and 4 more — is a fair guide to whether it matches your workflow. It is maintained by spacemeowx2; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Cargo Doc's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| get_crate_doc | Get crate's main documentation page for understanding overall concepts and usage |
| Parameters | - project_path: Path to the Rust project (must be absolute path) |
| crate_name | Name of the crate to get documentation for |
| list_symbols | List all symbols (structs, enums, traits, etc.) in a crate's documentation |
| search_doc | Search within a crate's documentation |
| query | Search query (keyword or symbol) |
| Tools | The Tools tool exposed by this server. |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.