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Tripitaka MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 4:16:29 PM

Tripitaka MCP

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View Repository8 GitHub StarsTotal stargazers on GitHub for the source repository (8 stars).Visit Website
buddhismpaliresearchsearcheducation

Search, cite, compare, and look up Pāli Canon texts and translations through MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "dhamma-seeker-tripitaka-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "bridge"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🔬 More in Research

Overview

The dhamma-seeker/tripitaka-mcp MCP server lets AI clients search, retrieve, cite, and compare content from the Pāli Canon. It combines keyword, semantic, and hybrid search on the hosted instance, with segment-aligned translations, dictionary lookup, citation generation, and links to source passages. You can connect to the hosted MCP endpoints over Streamable HTTP or SSE, or run a smaller offline edition locally with pipx and SQLite. Reach for it when an agent needs verifiable Tipiṭaka research across Sutta, Vinaya, or Abhidhamma texts.

Use cases

•Search the Tipiṭaka for passages on a topic
•Retrieve and cite a sutta by identifier
•Compare Pāli and English translations
•Look up inflected Pāli words and roots
•Verify quoted passages with source links

Key features

•Hybrid keyword and semantic search
•Approx. 444,000 indexed canon segments
•Segment-aligned translation comparison
•Pāli dictionary and root-form lookup
•Academic citation generation
•SuttaCentral and 84000.org reference links

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Tripitaka MCP.

Extracted Tool Capabilities
Hybrid keyword and semantic search
Approx. 444,000 indexed canon segments
Segment-aligned translation comparison
Pāli dictionary and root-form lookup
Academic citation generation
SuttaCentral and 84000.org reference links

How Tripitaka MCP works

What dhamma-seeker/tripitaka-mcp MCP server does

The dhamma-seeker/tripitaka-mcp MCP server exposes the Pāli Tipiṭaka to MCP-compatible AI clients. Its indexed collection covers approximately 444,000 segments across the Sutta, Vinaya, and Abhidhamma baskets. Sutta material includes Pāli and available English translations; the Abhidhamma data is Pāli-only because the upstream source does not provide English for those books.

The server supports research tasks such as finding passages by topic, retrieving a complete text by identifier, comparing translations, and checking Pāli vocabulary. Responses include links to a bilingual reader with segment anchors, allowing users to inspect the cited passage. The project is offered free for non-commercial use as Dhamma Dāna. Its code is MIT-licensed, while the repository separately documents data terms.

How it works

The hosted service provides Streamable HTTP at https://mcp.tripitaka-mcp.com/mcp and legacy SSE at https://mcp.tripitaka-mcp.com/sse. Hosted search uses PostgreSQL with pgvector. Keyword search uses trigram matching, semantic search uses vector similarity, and hybrid search combines both result types with Reciprocal Rank Fusion.

The local edition uses a bundled SQLite database. It can run without network access after its initial database download, but it does not include the hosted semantic or hybrid search tools. Local keyword search uses SQLite FTS5, so its matching and ranking may differ from the hosted PostgreSQL implementation. The local database is a snapshot and must be refreshed manually.

Setup and configuration

For offline use, install the package with Python 3.10 or newer:

bash
pipx install tripitaka-mcp
tripitaka-mcp init
tripitaka-mcp serve

The init command downloads the approximately 120 MB SQLite database. MCP clients can launch the resulting tripitaka-mcp serve command over stdio. An HTTP mode is also available locally with tripitaka-mcp serve --http; the default address is 127.0.0.1:8765/mcp, and the port can be changed with --port or the documented MCP_PORT setting. The hosted option requires no local database or Docker setup.

Tools and capabilities

The dhamma-seeker/tripitaka-mcp MCP server provides capabilities for:

  • Searching by keyword, semantic similarity, or a hybrid ranking method.
  • Fetching texts by IDs such as mn1, pli-tv-bu-vb-pj1, and patthana1.1.
  • Producing formatted academic citations for retrieved passages.
  • Comparing translations at aligned segment boundaries.
  • Looking up Pāli words in a dictionary containing more than 20,000 entries from P. A. Payutto, PTS, and DPPN sources.
  • Reducing inflected forms to possible roots when a direct dictionary lookup fails.
  • Reading structure and text data through MCP resources such as tripitaka://structure, tripitaka://sutta/{id}, and tripitaka://word/{w}.

The repository also includes curated reference pages, a Claude research workflow file, and a Postman collection, but these are supporting project assets rather than separate canon-search methods.

Limitations and notes

The public service is rate-limited to 10 requests per 10 seconds and 60 requests per minute per IP. Queries sent to the hosted service leave the local machine; the project provides a privacy policy for that deployment. Local mode avoids network requests after initialization and has no hosted rate limit.

Local mode exposes fewer tools than the hosted deployment: semantic and hybrid search are unavailable, and the trigram index is replaced by SQLite FTS5. A local HTTP listener binds to localhost by default. Anyone exposing it more broadly should consider that the server does not authenticate callers. Commercial use is not permitted under the project’s stated Dhamma Dāna terms.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
8
Stargazers on the source repository.
Last commit
2d ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about Tripitaka MCP

For local offline use, install it with Python 3.10 or newer using `pipx install tripitaka-mcp`, run `tripitaka-mcp init` once to download the SQLite database, then start it with `tripitaka-mcp serve`. You can also use the hosted MCP endpoint without installing the package.

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Technical Specs & Signals

Category🔬Research
PricingFree
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor
Last updatedSep 9, 2026
11/11 checks healthy over the last 34d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars8
GitHub Star CountTotal stargazers on GitHub representing community popularity (8 stars).
Last commit2d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 9, 2026
56Quality signal: Good · 56/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools26/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Critical 0High 0Medium 0Low 0

Scanned 21d ago via OSV.dev · bridge (npm)

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