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dodopayments/contextmcp

v0.4.0 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 1mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

context context-api context7 documentation mcp mcp-server
+3 more
openai pinecone self-hosted

Summary

AI summary

Added CLI flags for configurable runs and fixed embedding parameter handling.

Changes in this release

Feature Low

`clean:vectors` prompts for confirmation before deleting vectors.

`clean:vectors` prompts for confirmation before deleting vectors.

Source: llm_adapter@2026-06-10

Confidence: high

Feature Low

`index-to-txt` script gains `--input`, `--output`, `--force`, and `--help` flags.

`index-to-txt` script gains `--input`, `--output`, `--force`, and `--help` flags.

Source: llm_adapter@2026-06-10

Confidence: high

Bugfix Medium

OpenAI embeddings now only send `dimensions` to supported models and pass configured dimensions correctly.

OpenAI embeddings now only send `dimensions` to supported models and pass configured dimensions correctly.

Source: llm_adapter@2026-06-10

Confidence: high

Bugfix Medium

Packaging bundles scaffold template into npm package for clean installs.

Packaging bundles scaffold template into npm package for clean installs.

Source: llm_adapter@2026-06-10

Confidence: high

Full changelog

contextmcp v0.4.0

This is a minor release. It adds new CLI flags to the scaffolded scripts and fixes several packaging and embedding bugs. All changes are backward compatible.

Features

  • clean:vectors now prompts for confirmation before deleting vectors, with a --force flag to skip the prompt for non-interactive use (#38).
  • index-to-txt script gains --input, --output, --force, and --help flags for configurable, scriptable runs (#39).

Fixes

  • OpenAI embeddings: only send the dimensions parameter to models that actually support it, and correctly pass the configured dimensions through to the OpenAI embedding API.
  • Packaging: bundle the scaffold template into the published npm package so contextmcp can scaffold projects from a clean install.

Docs & Tests

  • Document Gemini as a supported embedding provider.
  • Add a Vitest harness with unit tests for the parser core utilities.

Upgrade notes

  • clean:vectors is now interactive by default. If you call it from scripts or CI, pass --force to preserve the previous non-prompting behavior.

Full changelog: v0.3.1...v0.4.0

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About dodopayments/contextmcp

Self-hosted MCP server that indexes documentation from various sources and serves it to AI Agents with semantic search.

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Beta — feedback welcome: [email protected]