Skip to main content

ChunkSilo Logo

ChunkSilo terminal demo

ChunkSilo MCP Server

ChunkSilo is like a local Google for your documents. It uses semantic search — matching by meaning rather than exact keywords — so your LLM can find relevant information across all your files even when the wording differs from your query. Point it at your PDFs, Word docs, Markdown, and text files, and it builds a fully searchable index locally on your machine.

  • Runs entirely on your machine — no servers, no infrastructure
  • Semantic search + keyword filename matching across PDF, DOCX, DOC, Markdown, and TXT
  • Incremental indexing — only reprocesses new or changed files, and never writes inside an indexed directory
  • Revision-aware indexing — files that are revisions of one document (Spec_v2.pdf, .../Rev B/Spec.docx) are grouped and only the newest is indexed; review-comment copies are skipped
  • Heading-aware results with source links back to the original file, spread across documents instead of one document's every chunk
  • Date filtering and recency boosting
  • Files indexed from a mounted network share can be presented at the share's own location (an smb:// URI plus the Windows UNC path)
  • Serves MCP over stdio to a local client, or over streamable-http behind a reverse proxy of your own (oauth2-proxy + KeyCloak walkthrough included)
  • Optional Confluence and Jira integrations (supports Cloud and Server/Data Center)

Installation

Requires Python 3.11 or later. Models are downloaded automatically on first run (~250MB). The first run may appear to pause while models download — this is normal.

pip install chunksilo

Confluence and Jira support is included by default — just provide a config file to enable them. (pip install chunksilo[confluence,jira] still works as an alias for backward compatibility.)

Then:

  1. Create a config file at ~/.config/chunksilo/config.yaml (see Configuration)
  2. Build the index: chunksilo --build-index
  3. Configure your MCP client (see docs/mcp-clients.md)

Option B: Offline Bundle

A self-contained package with pre-downloaded models, ideal for air-gapped environments or systems without Python installed.

Download from the Releases page:

  1. Download the chunksilo-vX.Y.Z-manylinux_2_34_x86_64.tar.gz file
  2. Extract and install:
tar -xzf chunksilo-vX.Y.Z-manylinux_2_34_x86_64.tar.gz
cd chunksilo
./setup.sh
  1. Edit config.yaml to set your document directories
  2. Build the index: ./venv/bin/chunksilo --build-index
  3. Configure your MCP client (see docs/mcp-clients.md)

Configuration

ChunkSilo reads one file, config.yaml, taken from --config, else the CHUNKSILO_CONFIG environment variable, else ./config.yaml, else ~/.config/chunksilo/config.yaml. Every setting is optional and chunksilo --dump-defaults prints them all with their defaults.

indexing:
  directories:
    - "./data"
    - "/mnt/docs"

retrieval:
  rerank_top_k: 5

storage:
  storage_dir: "./storage"
  model_cache_dir: "./models"

The full reference — per-directory filters, revision handling, retrieval tuning, Confluence and Jira, share locations, the HTTP transport, and what changed for users upgrading from 2.x — is in docs/configuration.md.

The search_docs tool

search_docs answers with the files whose names matched and the individual chunks that carry the answer, each located by a URI, the page or line it came from, and its heading path:

{
  "matched_files": [
    { "uri": "file:///docs/database-configuration.docx", "unc": null, "score": 0.8432 }
  ],
  "num_matched_files": 1,
  "chunks": [
    {
      "text": "To configure the database connection, set the DATABASE_URL environment variable...",
      "score": 0.912,
      "location": {
        "uri": "file:///docs/setup-guide.pdf",
        "unc": null,
        "page": 12,
        "line": null,
        "heading_path": ["Getting Started", "Configuration", "Database"]
      }
    }
  ],
  "num_chunks": 1,
  "query": "how to configure the database",
  "retrieval_time": "0.42s"
}

See docs/tools.md for every field, including how files on a mounted network share are presented.

Documentation

  • docs/configuration.md — the config file, where it is discovered, and a reference for every setting.
  • docs/cli.md — chunksilo and chunksilo-mcp options, including --check-files for explaining why a file is or is not indexed.
  • docs/tools.md — the search_docs result shape.
  • docs/mcp-clients.md — client setup for Claude Code, Claude Desktop, Cline, Roo Code and opencode, over stdio or HTTP.
  • docs/reverse-proxy.md — sharing an instance behind an authenticating reverse proxy, with oauth2-proxy and KeyCloak group-based access.
  • docs/troubleshooting.md — indexing surprises, network mounts, offline mode and more.

License

Apache-2.0. See LICENSE and NOTICE.

Metadata

Release files for chunksilo 3.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for chunksilo 3.0.0
File Size Uploaded Provenance Actions
chunksilo-3.0.0.tar.gz 149.0 kB With provenance Details for chunksilo-3.0.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for chunksilo 3.0.0
File Interpreter ABI Platform Actions
chunksilo-3.0.0-py3-none-any.whl Python 3 none any Details for chunksilo-3.0.0-py3-none-any.whl

Total release size: 233.9 kB

Release files / chunksilo-3.0.0.tar.gz

Download URL chunksilo-3.0.0.tar.gz
Size 149.0 kB
Tags Source
SHA-256 checksum
How to use checksums
8239799691239662d4d0f43eec938dc8b600c1b7376619bf5180e92ad1c555f2
BLAKE2b-256 checksum
How to use checksums
07726241fa37d156dc36d0f7e1b631990beefaf3ea4391a43a300069ad1ab362
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 14, 2026.

Transparency log

Release files / chunksilo-3.0.0-py3-none-any.whl

Download URL chunksilo-3.0.0-py3-none-any.whl
Size 84.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7214d925db0f73b120fe767fb6bcd49a1d65e7f6a83c3aa39421adc60b279893
BLAKE2b-256 checksum
How to use checksums
2b71226e70752b23f87f2fb384236f622216a3852223a7a4229a2d32f6e2f538
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 14, 2026.

Transparency log

Security for chunksilo 3.0.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for chunksilo-3.0.0.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 14, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page