Skip to main content

MCP server for Chinese history study: BiogRef/TextRef CSVs, CBDB/TGAZ enrichments

Project description

Bunduk MCP — Chinese History Study Server

MCP server exposing BiogRef/TextRef CSVs as resources and tools for Chinese history study, with optional live CBDB and CHGIS TGAZ enrichments.

Quick Start

  • Requirements: Python 3.10+
  • Data: CSVs are expected under references/ (already present in this repo).

Install (editable):

pip install -e .

Run (stdio transport):

mcp-chinese-history

or

python -m bunduk_mcp.server

This starts an MCP stdio server suitable for MCP-compatible clients.

Implemented

  • Resources: biogref://{source}/person/{person_id}, textref://{source}/work/{primary_id}
  • Tools: person.search, person.get, crosswalk.person, text.search
  • Entity resolution: entity.resolve_people, entity.resolve_books
  • Place lookup (TGAZ): place.lookup (online; safe fallback if offline)
  • CBDB API thin wrapper: cbdb.person (online; safe fallback if offline)
  • Disambiguation: disambig.person (rule-based scoring)
  • HTML builder: html.build_annotations (deterministic wrapping with tooltips)
  • Dataset management (scaffold): dataset.list, dataset.reload (update/sync stubbed)

Configuration

  • BUNDUK_MCP_REFERENCES_DIR — override path to CSVs (default: references)
  • BUNDUK_HTTP_TIMEOUT — HTTP timeout seconds (default: 10)

Notes

  • Network-enriched tools return clear errors when offline; the rest work fully offline using local CSV files.
  • CSV BOM is handled; fields are normalized but values preserve Chinese text.
  • See MCP_PLAN.md for design, scenarios, and roadmap.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

bunduk_mcp-0.2.1-py3-none-any.whl (23.2 MB view details)

Uploaded Python 3

File details

Details for the file bunduk_mcp-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: bunduk_mcp-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 23.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for bunduk_mcp-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0cc9d850fc8f7e2b1592561fa37b2ddf74093a2f31c5d7b41732c297cef8c736
MD5 342e0e216c852ff72bc8fb82a7df11b2
BLAKE2b-256 c92b179f8f4f4da4a5952a5de1c96538435e46bec24725292e24ef2d1897afcf

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page