"Search for information related to '1c'" matching MCP servers:

Provides 1C configuration metadata, platform syntax, and query language reference for BSL coding agents. Resolves natural language terms to exact object names, returning structures, relationships, and version-aware method details.

MCP server for generating, validating, converting, and searching managed 1C:Enterprise forms in three formats: Configurator, Managed, and EDT.

MCP server providing tools for interacting with 1С:Напарник AI, including asking questions, syntax explanation, code review, and documentation search. Also serves as a web chat interface and OpenAI-compatible API gateway.

Integrates IDEs with the 1C:Напарник API, providing code analysis tools and documentation search for 1C.

Enables agents to run local semantic, lexical, and hybrid (RRF) retrieval over 1C:Enterprise source code (.bsl) and configuration metadata reports, exposing code search, metadata search, and a unified vector/hybrid/rerank pipeline through stdio tools. It also lets users measure and compare retrieval quality per query with Hit@k, Recall@k, MRR, and nDCG@10 metrics.

Provides AI assistants in Cursor with local access to 1C platform documentation and XML configuration exports, enabling metadata lookup, BSL code search, and platform help queries without manual file copying.

Lightweight MCP server for 1C.ai integration, enabling queries, code analysis, and documentation search via natural language.

Enables AI agents to inspect, create, and edit 1C metadata and managed forms in a configurator XML dump without manual XML editing, using metadata_check for dry-run validation and metadata_apply for writes. It enforces platform dump rules, preserves formatting, and supports operations such as object creation, property changes, renaming, role generation, and form amendments.

Enables LLM agents to explore and search a 1C:Enterprise configuration codebase, including metadata objects, module procedures, call graphs, and semantic similarity search.

A local read-only AI workbench for navigating, auditing, and analyzing 1C:Enterprise 8.3 configurations via MCP-compatible clients.

Enables semantic search through 1C codebase exports using local CPU-based RAG with sentence transformers and FAISS indexing. Supports fast XML file indexing and retrieval of 1C code with metadata parsing.

MCP сервер с встроенным AI агентом для поиска по графу метаданных и кода конфигураций 1С

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

Enables SDK and MCP clients to perform repository code search and retrieval, inspect current source and related evidence, and optionally use semantic search, reranking, and web sources while keeping the calling agent in control.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

A runtime-free MCP server that converts source code into AST🌲, regardless of language.

Enables semantic code search across indexed code folders using vector embeddings, with support for multiple embedding providers and automatic file watching. Provides an admin UI and integrates with MCP clients for natural language code queries.

Semantic + lexical code search as an MCP server. Agents query in natural language and get back ranked file:line ranges to read precisely.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.

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.

Clones a Git repo into a temp directory so MCP clients can search and read files from another repo for context.

Enables AI coding assistants to semantically search codebases by meaning rather than exact text, with zero external daemons and fully local embeddings. Works out-of-the-box with Claude Code, Gemini CLI, Antigravity, and Cursor.

High-performance code understanding toolkit that enables batch reading of multiple files with dependency context, structural outline extraction with Java annotation awareness, and precise location of classes/methods across large codebases.

Enables AI coding agents to perform fast regex/text and structural AST searches across codebases, find symbols, list files, and safely preview or apply refactors. It unifies ripgrep and ast-grep with pagination, gitignore-aware defaults, and fallback engines for zero-setup code search.

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

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

Enables intelligent code analysis and search across repositories using the CodeRank algorithm (inspired by PageRank) to identify critical modules, trace dependencies, find code hotspots, and perform context-aware keyword searches with importance-ranked results.

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.