"Building voice agents and controlling SIP phones" matching MCP servers:

MCP server that analyzes codebases with tree-sitter and generates AGENTS.md files for AI agents.

Enables orchestrating multiple AI CLI agents (Claude Code, Codex, Gemini CLI, Copilot CLI) through a unified MCP interface for task delegation, cross-agent comparison, and specialized tools like code review and debugging.

Validates AGENTS.md files against the cross-vendor coding-agent spec, detecting security smells and consistency issues.

MCP server that integrates sql-sop SQL linter into LLM clients, enabling linting SQL queries and listing lint rules via chat tools.

locidx

Provides token-efficient code retrieval for coding agents by indexing repositories and enabling ranked snippet search, symbol outlines, and surgical line reads.

An MCP server that provides a semantic index and 14 bounded tools for AI agents to navigate Excel workbooks by symbols, references, and diagnostics, avoiding the need to read entire rows.

Codebase intelligence and context engine for AI coding agents: search, symbol lookup, impact analysis, and context building via MCP.

Enables building MCP servers in TypeScript where tool schemas, descriptions, and validation are automatically generated from class methods, their TypeScript types, and JSDoc comments at compile time.

Automatically detects packages that can be stubbed during Python exe building and generates minimal stub code to reduce executable size.

Enables smart code search in your editor using natural language queries, building an index of your workspace.

Enables AI assistants to perform reverse engineering and debugging of Windows executables through x64dbg, with tools for loading executables, controlling execution, analyzing memory and security, and generating reports.

Enables AI assistants to safely interact with local code repositories through MCP tools for search, context building, and workspace management, while keeping all operations local and human-controlled for patch approval.

Enables AI assistants to read, analyze, edit, and create Alteryx workflows, including summarizing workflows, finding tools, editing configurations, updating SQL, managing connections, and building new workflows programmatically.

Cloud-deployable MCP server exposing secureFlows' OpenAPI operations (tagged ai-safe/ai-optional) as MCP tools, plus static helper tools like login URL building and integration linting for coding agents.

Enables AI coding agents to query a pre-built semantic knowledge graph of code, reducing token usage and tool calls. Supports 16 tools for code exploration, analysis, and context building.

An MCP server that scans data science artifacts (Jupyter notebooks, R scripts, code) and runs a 5-voice compliance council to detect issues like leakage and fairness, outputting signed verdicts.

Enables AI coding agents to read, review, and generate Unreal Engine 5.4+ blueprints, including dumping graph JSON, reviewing Wwise logic chains, and building blueprints from JSON specs.

Enables coding agents to query a developer's recorded git-derived voice through MCP tools, answering why code is the way it is, asking the developer about work, and identifying who knew about a topic before making changes.

Provides AI coding agents with a compact, automatically updated map of game projects—scripts, scenes, prefabs, modules, and assets—so they can understand the existing structure before building. Supports Unity, Unreal, HTML5, and other engines through a single MCP tool.