anyindex-mcp
anyindex-mcp is a fully local MCP server that indexes a codebase and answers semantic/keyword code-search queries over it — no API keys, no telemetry, no external calls.
anyindex_search— Semantic, keyword, or hybrid (RRF-fused) search over the entire indexed repo; returns file, line range, entity, distance, and confidence.topKcounts files, max 25.find_references— Lexical lookup of where an identifier is declared and used (explicitly not a call graph); optional file scoping andmaxResults.get_file_outline— Lists functions, classes, and methods in one file with line ranges and signatures; cheaper than reading the file.index_status— Reports readiness,degradedstate, file/chunk counts, staleness, breakdown (AST vs fallback vs non-code), and live indexing progress.index_update— Incremental reindex + embed of changed files, reusing chunks by content hash; runs in the background.index_rebuild— Destructive full rebuild from scratch, recomputing every embedding; runs in the background.ping— Liveness probe returning the resolved config (root, model, node version, index and model paths) to verify client wiring.
Additional traits: AST-aware chunking via tree-sitter, offline ONNX embeddings (Jina v2 base code), one SQLite + FTS5 file per project, respects git ignore rules, and supports --watch for keeping the index fresh.
Click on "Deploy 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., "@anyindex-mcp find where user login is handled in my codebase"
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.
anyindex-mcp
Fully local MCP server for indexing a codebase and answering semantic search queries about it. No external API calls, no telemetry, no server process to run.
AST-aware chunking via tree-sitter — chunks follow function and class boundaries, never cut mid-statement
Offline embeddings via ONNX in-process; after the first download the model works with no network
Hybrid search — vector + BM25 fused with RRF
One SQLite file in the project, plus an FTS5 index
Works on Windows without Visual Studio Build Tools — see Platform
Quickstart
Wire it into a client — nothing to install, see Client configuration:
npx --package anyindex-mcp anyindex-mcp-serverBuild the index once from your project, so the first search has something to read:
npx --package anyindex-mcp anyindex-mcp reindex --root /path/to/project
npx --package anyindex-mcp anyindex-mcp search --root /path/to/project "user authentication flow"After a global npm install -g anyindex-mcp the npx --package … prefix drops away
and the commands are just anyindex-mcp reindex and anyindex-mcp search.
A second reindex only touches changed files. To keep the index fresh while you
edit, pass --watch to the server, not to the CLI:
npx --package anyindex-mcp anyindex-mcp-server --watchTo work on anyindex-mcp itself, from a checkout:
npm install
npm run build
npm run probe # environment check, prints ms/chunkRelated MCP server: semantic-search-mcp
Requirements
Node ^22.19.0 || >=24.0.0. Node 23.x does not qualify at any patch level.
Embedding dominates the wall clock: plan against ~1 s/chunk on 4 cores, not the optimistic probe figure. If a run stalls, it is memory pressure — free RAM and retry. Measured numbers in docs/06-environment.md §14.
Install
To use it as an MCP server, install nothing. Every client below runs the
package through npx, which downloads it on first start and caches it:
npx --package anyindex-mcp anyindex-mcp-serverTo use the command line from any project, either prefix each call the same way or install it once:
npm install -g anyindex-mcp
anyindex-mcp --versionnpm install -g needs elevated rights on some Windows setups. The npx form works
everywhere and is otherwise identical.
To work on anyindex-mcp itself, from a checkout:
npm install
npm run build
npm run probe # environment check, prints ms/chunkprobe checks Node version, sqlite-vec, code-chunk, the embedding model, and
write permissions, and prints throughput numbers. Exit code 1 means a blocking
failure — the stack should be reconsidered before writing code.
The package also installs as a dependency and puts both executables on your path. Checked from a tarball into an empty project, with npm's install scripts blocked:
npm install ./anyindex-mcp-1.0.1.tgz
npx anyindex-mcp helpUsage
Search output looks like this:
1. src/auth/login.ts:14-24 loginUser distance 0.957 (moderate)
export async function loginUser(email: string, password: string) {
const row = await db.query('select * from users where email = ?', [email])
...Running as an MCP server
The server speaks MCP over stdio. Nothing is written to stdout except JSON-RPC framing; all diagnostics go to stderr, so the channel stays clean. It takes no arguments and needs no configuration file.
npx --package anyindex-mcp anyindex-mcp-serverWire it into a client as described below.
Command-line reference
anyindex-mcp reindex --root /path/to/project # build the index
anyindex-mcp update --root /path/to/project # incremental
anyindex-mcp status --root /path/to/project # state, --json for machine output
anyindex-mcp search --root /path/to/project "user authentication flow"
anyindex-mcp probe # environment and hardware
anyindex-mcp benchmark # quality benchmark
anyindex-mcp --version # package version
anyindex-mcp help # same as --helpreindex and update exit 1 if --root does not exist. Without that check a
mistyped path scans nothing and reports a finished reindex.
search supports --mode semantic|keyword|hybrid, --topK, and --json; --help prints usage. Exit code is 1 when the index is not ready, so shell scripts can branch on it. Search refuses to run against an unready index rather than returning plausible-looking results.
topK counts files, not chunks: one file never takes two slots, so you may get
fewer results than you asked for.
Client configuration
Every client runs the same command and differs only in the config file it reads.
All of them run the package through npx, so there is nothing to install first:
command: npx
args: -y --package anyindex-mcp anyindex-mcp-server
env: ANYINDEX_LOG_LEVEL=warn (optional)--package is load-bearing. npx resolves a package name, not a binary name,
and this package ships two binaries — anyindex-mcp (the CLI) and
anyindex-mcp-server (the MCP server). Writing npx -y anyindex-mcp-server
resolves nothing:
npm error could not determine executable to runclaude mcp add writes the entry for you. Everything after -- goes to the
server untouched, which is what keeps -y from being read as Claude Code's own
flag:
claude mcp add anyindex-mcp -- npx -y --package anyindex-mcp anyindex-mcp-serverThe same entry by hand in .mcp.json at the project root:
{
"mcpServers": {
"anyindex-mcp": {
"type": "stdio",
"command": "npx",
"args": ["-y", "--package", "anyindex-mcp", "anyindex-mcp-server"],
"env": { "ANYINDEX_LOG_LEVEL": "warn" }
}
}
}~/.cursor/mcp.json for every project, .cursor/mcp.json for one, or
Settings → Customize → MCP to add it through the UI.
{
"mcpServers": {
"anyindex-mcp": {
"type": "stdio",
"command": "npx",
"args": ["-y", "--package", "anyindex-mcp", "anyindex-mcp-server"]
}
}
}.vscode/mcp.json in a project, or the user-profile mcp.json from the
MCP: Open User Configuration command — servers go under a top-level
servers object there:
{
"servers": {
"anyindex-mcp": {
"type": "stdio",
"command": "npx",
"args": ["-y", "--package", "anyindex-mcp", "anyindex-mcp-server"]
}
}
}The portable alternative is .mcp.json at the project root, which other clients
read too, under mcpServers:
{
"mcpServers": {
"anyindex-mcp": {
"type": "stdio",
"command": "npx",
"args": ["-y", "--package", "anyindex-mcp", "anyindex-mcp-server"]
}
}
}Claude → Settings → Developer → Edit Config.
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"anyindex-mcp": {
"command": "npx",
"args": ["-y", "--package", "anyindex-mcp", "anyindex-mcp-server"]
}
}
}Claude Desktop has no working directory of its own, so it launches the server from
its own config directory. See which folder gets indexed
below — for Desktop, --root is the one thing worth setting.
Quit and restart Claude Desktop: it reads the file at launch, not on change.
Settings → AI → MCP Servers → Add Local Server, or open the settings file
directly (zed: open settings file). Zed's key is context_servers:
{
"context_servers": {
"anyindex-mcp": {
"command": "npx",
"args": ["-y", "--package", "anyindex-mcp", "anyindex-mcp-server"],
"env": {}
}
}
}mcp.<name>.command is an array here, not a string, and there is a separate
cwd. The schema is validated at startup and rejects unknown fields.
Project config: ./opencode.json, ./opencode.jsonc or .opencode/opencode.json
at the repository root. The configuration is read once at startup and is not
reloaded — restart opencode after an edit.
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"anyindex-mcp": {
"type": "local",
"command": ["npx", "-y", "--package", "anyindex-mcp", "anyindex-mcp-server"],
"cwd": ".",
"environment": { "ANYINDEX_LOG_LEVEL": "warn" },
"enabled": true,
"timeout": 120000
}
}
}timeout matters: the first anyindex_search loads the model into a worker and
took 2745 ms on a warm index, against 145 ms for the next call. opencode defaults
to 5000 ms, which is enough — a client with a shorter timeout drops the first call
while everything is actually working.
Almost every MCP client reads a stdio server the same way:
command: npx
args: -y --package anyindex-mcp anyindex-mcp-server
env: ANYINDEX_ROOT=/absolute/path (optional, see below)On Windows, use npx.cmd if your client cannot launch npx through a shell. It
takes no arguments, needs no API key, and writes its log to stderr, so stdout
carries nothing but JSON-RPC.
To confirm a client started it correctly, call ping — it reports the resolved
configuration rather than just answering. See
docs/10-clients.md
for per-client notes and what has and has not been verified.
Which folder gets indexed
No project path is required in the config. The working folder is taken from
wherever the agent was started, resolved up to the nearest enclosing repository
root. Start the agent in ~/work/myrepo/src/api and it indexes ~/work/myrepo,
not the subdirectory. Outside a repository it uses the working directory as it
stands.
That also means the server has to be started from the project. A client that
spawns MCP servers from its own config directory rather than the project would
resolve the wrong root; ping reports the root it actually chose, so this is
one call to check:
{ "echo": "pong", "root": "/home/you/work/myrepo", "model": "jinaai/jina-embeddings-v2-base-code",
"node": "v24.21.0", "index": "/home/you/work/myrepo/.anyindex/index.db",
"models": "/home/you/.cache/anyindex-mcp/models" }To pin the folder regardless of where the client starts from, set ANYINDEX_ROOT
in env to an absolute path.
Before the first search
A fresh install has no index. Until one is built, anyindex_search refuses to
answer rather than returning plausible-looking results, and index_status says so.
Build it once, from the project:
npx --package anyindex-mcp anyindex-mcp reindex --root .After that a second reindex only touches changed files.
Configuration
All settings are optional. The server reads flags first, then environment variables, then defaults.
Flag | Environment variable | Default |
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| nearest repository root above the working directory, else the working directory |
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| nearest repository root above |
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| user cache: |
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— |
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Chunking and batching internals (chunkSizeBytes, maxFileBytes, batchSize) are fixed in src/config.ts and intentionally not exposed as flags or environment variables.
Only the index goes into the project: .anyindex/ holds the database and nothing
else. The model is ~157 MB, identical for every project on the machine, so it is
downloaded once into the user cache — <root> stays clean, and deleting
node_modules does not throw it away. Point --models elsewhere to share one
cache between accounts or to keep it on a different volume.
No API keys. The embedding model is Apache-2.0 and ungated, so nothing secret is ever configured — which also means there are no *_TOKEN-style variables for MCP clients to strip from subprocess environments.
The model is fetched from Hugging Face on first use, not by npm install, and lands in the user cache. After that first download nothing reaches the network, so --offline works from a warm cache and fails with a clear error from a cold one.
Ignored files
Ignore rules follow git's own precedence, verified against git check-ignore:
Source | Scope | Precedence |
| repository | lowest |
| directory containing the file | per directory |
|
| highest |
Nested ignore files are honoured: src/.gitignore applies to src/, and a deeper
file overrides a shallower one, including re-including a path with !. node_modules/
and .git/ are excluded programmatically and cannot be re-enabled by any rule.
Paths are relative to --root.
Tools
Tool | Annotations | Description |
| read-only | Semantic + keyword search over the whole index. Returns file, lines, entity, and the match distance |
| read-only | Where an identifier is declared and used. Lexical matches, not a call graph |
| read-only | Entities defined in one file, with line ranges. Cheaper than reading the file |
| read-only | Readiness, counts, staleness, and progress of a running index job |
| writes | Incremental reindex and embed. Runs in the background |
| destructive | Full rebuild, recomputing every embedding |
| read-only | Liveness probe returning the resolved configuration |
Parameters:
Tool | Parameters |
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| none |
| none |
| none |
| none |
index_update and index_rebuild return immediately and work in the background, so
the client's request timeout does not limit indexing. Poll index_status until
running is false.
The timeout does matter for anyindex_search: the first call loads the model and
takes seconds. Measured 2745 ms on a warm model, then 145 ms and 119 ms.
anyindex_search refuses to run when index_status reports the index unready or
degraded, rather than returning weaker results that look normal. A half-vectorized
index counts as degraded: index_rebuild is the fix. Per-client wiring and timeouts
are in the client notes; see ADR-010 for why the refusal
exists.
Measured quality
The indexer, hybrid search and watcher work end to end. 118 tests pass. Verified
on Linux x64, Windows x64 and macOS x64 — CI runs the build, the type check and
the test suite on all three, on Node 22.19 and 24, plus probe on each.
Retrieval quality was measured on 520 questions mined from commit history in Flask,
Gson and Fastify, against a grep baseline charged with the same tokenizer: the
correct file reaches the top 3 in 0.531 of cases versus 0.110 for grep, at
1080 context tokens per question versus 3800.
Two limits are measured and unfixed:
Russian queries retrieve roughly 0.2 further than English ones. A multilingual model scores the same, so this is a property of matching Russian against English code, not of the model.
No relevance threshold exists — across three models the distance gap between the worst positive and best negative case is negative. Results carry a distance and a confidence label instead of being silently filtered.
Quality also falls as the corpus grows, which is currently the largest measured limit: top-3 is 0.711 on Flask, 0.473 on Gson, 0.328 on Fastify. Benchmark, per-language numbers and the failure analysis are in docs/06-environment.md §18.
Platform
Target platform is Windows (ADR-011). Rules that follow from it:
Native modules ship a prebuilt binary inside the package; no Visual Studio Build Tools are needed
Paths are normalized to POSIX separators before storage, so an index built on Windows opens on Linux and back
A
.cmdwrapper is installed alongside the POSIX entry pointchokidarreports paths with forward slashes whilerootarrives with backslashes, so anything comparing them must go throughpath.relative. A plain string comparison makes the watch root look like a path outside itself, and the watcher then reports nothing without any error
npm 11.21 or newer is required, and engines says so. This is not about a
script we need: npm below 11.21 does not block dependency install scripts, and it
synthesises node-gyp rebuild for any package that ships a binding.gyp without
an install script — better-sqlite3 is exactly that case. The rebuild needs MSVC,
the Windows runner does not have it, and the node-gyp bundled with npm 10 cannot
even recognise the Visual Studio 18 that is installed there:
gyp ERR! find VS unknown version "undefined" found at "C:\Program Files\Microsoft Visual Studio\18\Enterprise"Nothing here needs a script: onnxruntime-node, better-sqlite3 and the six
tree-sitter-* grammars all carry their binaries in the tarball, so with scripts
blocked they load without npm install-scripts approve. This was found by CI, not
by inspection — see Measured quality.
Development
npm run build # compile TypeScript and prepare bin entries
npm run typecheck # type check without emitting
npm test # integration tests against a real stdio server
npm run probe # environment verificationExternal quality benchmark. Mines questions from commit history in Flask, Gson and Fastify at pinned commits and compares against a grep baseline. Clones the three repositories (~46 MB) and needs several hours for the first index of each; later runs reuse the index and take minutes.
node scripts/bench-external.mjs --corpus flask # also: gson, fastifyThe scripts behind the analysis in docs/06-environment.md §18 live next to it:
rank-sweep.mjs compares ranking strategies on built indexes, doc-regression.mjs
checks that documentation queries keep working, language-diagnosis.mjs measures
how answerable the questions are, and scale-control.mjs re-measures the same
questions on a smaller index.
Documentation
These are the design notes behind the release — measurements, decisions and the open items. They are not shipped in the npm package, so the links point at the repository.
File | Contents |
Index and decisions summary | |
Verified facts about every dependency, with sources | |
Components, schema, tool design | |
Implementation stages with acceptance criteria | |
Risk register and decision log (17 ADR) | |
Survey of existing tools and why they were rejected | |
Environment measurements, per platform | |
Bun/Node comparison, measured | |
Why there is no standalone binary | |
Inventory of what is still missing | |
Per-client configuration and timeouts |
License
MIT
Available Tools
7 toolsanyindex_searchARead-onlyIdempotent
Semantic and keyword search over the ENTIRE locally indexed codebase. Every indexed file is already available to you — do not ask the user to paste code, and do not read files directory-by-directory looking for it. Use this when the answer is not in your current context, when you need to locate a function, class or feature by name or by meaning, or when you need to understand how parts of the project fit together. Skip it when the answer is already in context, or for general programming questions unrelated to this repository. Each result carries file path and line numbers. If no results come back, the code may not exist here — say so instead of inventing it.
Inputs: query (required), mode, topK. Returns: hits, index, total
find_referencesARead-onlyIdempotent
Finds where an identifier is defined and where it is used, as file and line numbers. Use it before editing a shared function or type, to see what depends on it, or when you know the name but not the file. These are LEXICAL matches: a same-named identifier in another class, a comment or a string counts as a match too. It is not a call graph — it does not resolve which Charge a given call site means. Prefer anyindex_search when you want code by meaning rather than by name.
Inputs: symbol (required), file, maxResults, includeDefinitions. Returns: symbol, truncated, otherFiles, references, +3 more
get_file_outlineARead-onlyIdempotent
Lists the symbols defined in one file — functions, classes, methods — with their line ranges and signatures. Cheaper than reading the file when you only need to know what it defines, or need to pick a line range to read. The index may be stale for very recent edits; verify with Read when exactness matters.
Inputs: file (required). Returns: file, note, indexed, entities, +1 more
index_rebuildADestructive
Discards the whole index and rebuilds it from scratch, including recomputing every embedding. Slow — minutes on a large repository. Use only when index_status reports an incompatibility, or after changing the embedding model.
Inputs: no named parameters. Returns: files, phase, ready, stale, +13 more
index_statusARead-onlyIdempotent
Reports whether the codebase index is ready to search, how many files and chunks it covers, and whether indexing is currently running. After calling index_update or index_rebuild, poll this to find out when the work finished. Also reports whether any subsystem failed, so you never rely on a silently broken index.
Inputs: no named parameters. Returns: files, phase, ready, stale, +13 more
index_updateAIdempotent
Indexes files that changed since the last run and embeds the new chunks. Safe to call after edits; existing chunks are reused by content hash. Use it when the repository has been modified and the index is stale.
Inputs: no named parameters. Returns: files, phase, ready, stale, +13 more
pingARead-onlyIdempotent
Liveness probe. Returns the resolved configuration so client setup can be verified.
Inputs: echo. Returns: echo, node, root, index, +2 more
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 7 tools
Tools cover distinct lifecycle stages (status, update, rebuild) and distinct retrieval modes (semantic search, symbol outline, lexical references). Minor overlap between anyindex_search and find_references when locating an identifier by name, but descriptions clarify the intended use cases.
Mixed conventions: index_* prefix for management tools is consistent, but anyindex_search has a redundant server prefix, and verbs like get_file_outline/find_references coexist with noun-like index_status and bare ping. Still readable but not uniform.
Seven tools are well-scoped for a codebase index/search server. Each tool has a clear role and no redundant or bloated surface.
Covers full index lifecycle (status, update, rebuild), search, file outline, references, and liveness. No obvious missing operation for the stated purpose.
Maintenance
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