Skip to main content

confluence-knowledge (local MCP service)

Local companion service for the confluence-knowledge Copilot agent. See ../../docs/confluence-knowledge.md for the full guide.

  • GET-only ConfluenceClient — non-GET raises SecurityException pre-flight.
  • Recursive subtree crawl (Cloud v2 + Data Center), resumable.
  • Local ONNX embeddings (nomic-embed-text-v1.5, quantized) + sparse leg (Qdrant/bm25)
    • reranker (mxbai-rerank-xsmall-v1, quantized) — MIT/Apache-2.0, pinned in models.lock.json, no torch, never a cloud embedding call.
  • SQLite + FTS5 + vector-blob index under .conf_knowledge_index/.
  • Credentials via OS keyring / env var / chmod-600 .conf_auth.json.

Dev

python3.11+ -m venv .venv && .venv/bin/pip install -e '.[dev]'
.venv/bin/python -m pytest        # all offline — no network needed
.venv/bin/python -m ruff check src tests

Before every release, run the end-to-end smoke test. It spawns the real stdio server through the MCP client SDK and uses the real models against a fake Confluence on localhost, with simulated network latency:

.venv/bin/pip install -e '.[models]'
CONF_KNOWLEDGE_HOME=/tmp/ck/home .venv/bin/confluence-knowledge prepare-models
CONF_KNOWLEDGE_HOME=/tmp/ck/home .venv/bin/python scripts/e2e_smoke.py   # ends with "E2E OK"

e2e_bootstrap.py goes further — it replays the agent's entire install flow in a sandboxed $HOME (python discovery → venv → pip install from the shipped dist/ bundle → models → credentials → register → the real server over stdio → a full Q&A round-trip). Run it before every release:

CK_MODEL_CACHE=/tmp/ck/home/models .venv/bin/python scripts/e2e_bootstrap.py  # "E2E BOOTSTRAP OK"

CLI

Command Purpose
confluence-knowledge setup guided env/site/token setup (hidden input, keyring)
confluence-knowledge prepare-models fetch pinned local models once
confluence-knowledge doctor verify config + heartbeat + models
confluence-knowledge serve run the stdio MCP server (what the IDE launches)
confluence-knowledge clean delete the local index (~/.confluence-knowledge/work unless CONF_KNOWLEDGE_WORKDIR is set)

Metadata

Release files for confluence-knowledge 0.12.0

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

Source distribution (sdist)

Source distribution for confluence-knowledge 0.12.0
File Size Uploaded Provenance
confluence_knowledge-0.12.0.tar.gz 200.9 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for confluence-knowledge 0.12.0
File Interpreter ABI Platform
confluence_knowledge-0.12.0-py3-none-any.whl Python 3 none any Details

Total release size: 338.5 kB

Release files / confluence_knowledge-0.12.0.tar.gz

Download URL confluence_knowledge-0.12.0.tar.gz
Size 200.9 kB
Tags Source
SHA-256 checksum
How to use checksums
8bc097f7314eea6cad3c9fddbcb2844add22c9e8e5c79133300ca2802eff07b1
BLAKE2b-256 checksum
How to use checksums
fbc8c3efa6051392930cc92a7cadeda10e36764e4ccfbe1a1dec13392bf390b5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.16

Release files / confluence_knowledge-0.12.0-py3-none-any.whl

Download URL confluence_knowledge-0.12.0-py3-none-any.whl
Size 137.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
8cd400004f2f5064a6ddf9995f84aa70af1322b9baa08f4caa6e57aee5be4266
BLAKE2b-256 checksum
How to use checksums
0e2dc736d2a68bf661c0133704921bd135c46b2f59d18dbbc2e530429e5fbec7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.16

Security for confluence-knowledge 0.12.0

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

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.

Release history Release notifications | RSS feed

This release

0.12.0 This release

2 release files No provenance

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