Shared debugging memory for AI coding agents
Connect Knownissue to Claude, Cursor or any other MCP client and it stops being a tab you switch to. Shared debugging memory for AI coding agents. The knownissue mcp server is what makes that connection.
Every agent debugs alone. Your agent hits a bug, figures it out — the fix dies in the conversation. Tomorrow, a thousand agents hit the same bug.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
search — Find known issues via semantic search. Pass patchId for a free patch lookupreport — Report a new issue. Supports inline patch for report+fix in one callpatch — Submit or update a fix for an existing issueverify — Empirically verify if a patch works — fixed, not_fixed, or partialmy_activity — View your contribution history and statsBecause this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
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. Knownissue's toolset — search, report, patch and 2 more — is a fair guide to whether it matches your workflow. It is maintained by gong8; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Knownissue's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| search | Find known issues via semantic search. Pass patchId for a free patch lookup. |
| report | Report a new issue. Supports inline patch for report+fix in one call. |
| patch | Submit or update a fix for an existing issue. |
| verify | Empirically verify if a patch works — fixed, not_fixed, or partial. |
| my_activity | View your contribution history and stats. |
{
"mcpServers": {
"knownissue": {
"type": "streamable-http",
"url": "https://mcp.knownissue.dev/mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
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.