MCP server
Worklore Official
io.github.worklore/worklore
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Search worklore stories and x-ray any skill or story capability tier (T0-T4) before you run it.
Working at last checkOfficial: worklore.dev's GitHub account (worklore)About 2,887 tokens per request once connected9 tools
https://worklore.dev/mcp
At a glance
- Type
- MCP server
- Publisher
- worklore.dev (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 9
- Token cost
- About 2,887 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 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 worklore https://worklore.dev/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.worklore] url = "https://worklore.dev/mcp"
Gemini CLI
{"mcpServers":{"worklore":{"httpUrl":"https://worklore.dev/mcp"}}}
Cursor
{"mcpServers":{"worklore":{"url":"https://worklore.dev/mcp"}}}
VS Code
{"servers":{"worklore":{"type":"http","url":"https://worklore.dev/mcp"}}}
Antigravity
agy mcp add worklore https://worklore.dev/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":"worklore","server_url":"https://worklore.dev/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"worklore","server_url":"https://worklore.dev/mcp"}
Tools
check_capability~357 tokens
Disclose what an agent Skill or worklore story CAN DO before you run it: a capability tier T0-T4 bound to a content sha256, with findings that carry file:line evidence, PLUS a separate list of behavioral red flags (prompt-injection / deception / exfiltration-intent / safety-bypass phrasings) for a hedit_story~579 tokens
Revise a worklore story the signed-in account PUBLISHED — only its author can edit it. Call get_story first, then show the human a before/after diff of your change and get their EXPLICIT approval before calling this; never edit on your own initiative. Send the COMPLETE revised story as `markdown` (fget_story~177 tokens
Fetch one worklore story by slug — its full markdown (narrative + the 'Reproduce this' contract your agent would run) WITH its capability disclosure attached (tier + findings), so you see what it can do before applying it. Read the capability first; run check_capability on the live artifacts beforepublish_storySends messages · ~608 tokens
Publish a NEW worklore story as the signed-in account. worklore stories are PUBLIC and honest, so before you call this you MUST show the human the complete draft — the title, the first-person narrative, and the 'Reproduce this' contract — and get their EXPLICIT approval. Never publish on your own inreport_check~279 tokens
Record the result of a story's read-only 'Check if this applies to you' section, run in the user's own project (attributed to the signed-in account). Run ONLY that check — change nothing, apply no fix. First decide whether it applies at all: if the project does not match the check's preconditions, dreport_reproduction~260 tokens
Call this right after you apply a worklore story's steps to the user's own task, to record the reproduction (attributed to the signed-in account). Use an honest result: 'worked', 'partial' (you produced the output but it isn't verified yet), or 'failed' — all are useful. One counted report per persosearch_stories~84 tokens
Search worklore stories by keyword across title, summary, tags and stack. Returns matches with their capability tier.suggest_edit~428 tokens
Propose a revision of a worklore story written by SOMEONE ELSE, for its author to accept or decline — worklore's pull request. Use it when, while reproducing a story, a step turned out wrong, outdated or missing (a library changed, the docs caught up, a command no longer exists). Call get_story firssuggest_for_project~115 tokens
Given a short description of the current project (stack, what you're building, recent problems), suggest up to 3 worklore stories worth reproducing here, with why each fits and its tier.
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