icfmcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@icfmcpsearch for records tagged 'Project:ICF'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
icfmcp
An MCP (Model Context Protocol) server that lets AI harnesses — Claude Code, Claude Desktop, and any other MCP client — search and read Indent Comma Format (ICF) knowledge files via their ICX indexes.
Point it at one or more .icf files (or directories of them) and it exposes tag search, one-line summaries, full-text search, record retrieval, and validation as MCP tools over stdio. When a sibling .icx index file exists it is used directly; otherwise an index is generated in memory with icf.js.
Requirements
Node.js >= 20
Related MCP server: Gemini RAG MCP Server
Install & run
npm install
npm run build
# serve a directory (scanned recursively for *.icf) and/or individual files
node dist/index.js path/to/knowledge-dir another/file.icf
# or, via the bin:
npx icfmcp path/to/knowledge-dirThe server speaks MCP on stdin/stdout; status lines go to stderr.
Registering with Claude Code
claude mcp add icf -- node <absolute-path>/icfmcp/dist/index.js <absolute-path-to-knowledge-dir>Or in Claude Desktop's claude_desktop_config.json:
{
"mcpServers": {
"icf": {
"command": "node",
"args": ["<absolute-path>/icfmcp/dist/index.js", "<absolute-path-to-knowledge-dir>"]
}
}
}Tools
Tool | Input | Behavior |
| — | Registry overview: name, path, record count, schema ids, whether the index came from a |
|
| All tags with the number of records carrying each, sorted by count descending. |
|
| Records carrying a tag. |
|
| One record in full: resolved data as JSON, |
|
| recordId → one-line summary for every record that has one, optionally filtered by tag. |
|
| Case-insensitive full-text search over raw record blocks; returns matching lines with recordId and absolute line numbers. |
|
| Errors and warnings from the ICF validator, for a served document or inline ICF text. |
Every tool returns a single JSON text block. Recoverable problems (unknown document or record, missing arguments) come back as { "error": "..." } with isError: true — never a protocol failure.
How the ICX 1.2 Tags/Summary flow works
ICX is ICF's companion index format. Version 1.2 adds two optional per-row fields and two inverted collections that make an index self-sufficient for triage (ICX v1.2 §7–§9, §15):
Tags— search keywords per index row, joined with+(a literal+is escaped as\+). Tags are ideally typed master references likeProject:ICF, so they resolve against the index's own master rows.Summary— a one-line synopsis of the record.tagindex[]— inverted map: tag →+-joined record ids.summaryindex[]— record id → summary.
The intended harness flow — and what this server implements for you:
Read the small index once (
list_documents,list_tags).Filter rows by tag (
search_by_tag) — from the per-rowTagsfield andtagindex[], merged.Triage candidates by summary (
get_summaries) without opening the ICF.Fetch only the winning records (
get_record) — the raw block, resolved data, and byte positions.
When no .icx exists, the server generates the index in memory and fills the same information straight from the source: every field value that is a typed reference to a declared master type becomes a tag (ICX §7 generator behavior), and a record's summary attribute or Summary field becomes its summary. Documents and indexes are cached by mtime+size and reloaded automatically when files change — including when a .icx appears next to an .icf after startup.
Development
npm run dev -- tests/fixtures # run from source (tsx)
npm test # vitest
npm run typecheck # src + tests
npm run build # tsc -> dist/See CLAUDE.md for the architecture notes.
License
MIT © Edison Williams
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