"semantic-release" matching MCP servers:

Semantic code graph MCP server for coding agents

Enables Claude Code to perform fuzzy and semantic codebase search via a query_codebase tool.

A local MCP server that provides semantic code search for Python codebases using tree-sitter for chunking and LanceDB for vector storage. It enables natural language queries to find relevant code snippets based on meaning rather than just text matching.

Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.

Enables AI agents to perform semantic code search across entire codebases using natural language queries. Provides fast indexing and ranked search results with line numbers and file paths through the Seroost search engine.

Classifies SAP ABAP objects against SAP's official Clean Core release catalog to determine API release status and guide S/4HANA implementation.

Enables natural-language semantic search of a project's code through a local vector index, so questions that plain grep cannot match return ranked file:line references. It also indexes or refreshes projects on demand, reports index status, and optionally flags near-identical code across files.

Enables free indexing of repository files into a live semantic code search Worker via the index_code tool, while semantic search requires calling the paid x402-gated endpoint directly.

Enables AI assistants to perform Git workflows with semantic commit messages, pre-PR secret audits, conflict resolution, and release changelog generation.

Provides 18 tools for repository snapshot, release readiness, secret scanning, and approval-gated file writes with backup and audit log.

Bridges MCP and LSP to enable semantic code analysis, including go-to-definition, find references, hover info, and function call relationship checks.

Serves reusable SDLC agent roles and review checklists over MCP, enabling AI coding agents to execute structured product analysis, solution architecture, code review, and release management tasks in GitHub-first projects.

Provides semantic code search over codebases using local embeddings with natural language queries. Supports hybrid search, file watching, and respects .gitignore.

A self-hosted semantic code retrieval MCP server that enables natural language queries to find relevant code snippets using Tree-sitter AST parsing, embedding, and hybrid search with reranking.

Semantic code search for Claude Code, enabling natural language codebase indexing and search using AI embeddings.

Enables semantic code search across local projects and Git repositories using AI embeddings with ChromaDB. Supports both OpenAI and local Ollama models for private, enterprise-ready code analysis and similar code discovery.

Enables coding agents to establish exact-release library identity, search provenance-tracked API, docs, example, source, and release evidence, compare releases, and test proposed invocations in isolated capsules for Rust and Python dependency environments.

Enables coding agents to search locally indexed repositories with hybrid semantic and lexical retrieval, returning exact source citations with file paths and line ranges.

A Model Context Protocol server that automatically generates structured release notes from Git repository tags, analyzing differences between tags and saving formatted Markdown output to the .iris directory.

Helps teams standardize implementation quality with project-aware rules, code review, health scoring, and an active agent workflow for intake, planning, verification, and release.