"Information about PG Vector" matching MCP servers:

Enables coding agents to search and retrieve persistent repository memory created by Cliper, providing context, gaps, architecture, and timeline information via MCP tools.

Enables delegating coding tasks to a pi agent as a steerable background worker, allowing mid-run redirection, follow-ups, and keeping the delegate's context isolated from your main conversation.

Exposes pi as a sub-agent for MCP-capable coding assistants, enabling task dispatch, messaging, and interactive dialog handling via tools like pi_dispatch, pi_send, and pi_respond.

A marketplace of 13 specialist AI agents for coding assistants, offering tools to hire agents, run scripts, audit code, and manage vector stores with async job execution.

MCP server for Python build123d to help AIs develop and reason about 3D models and CAD

Enables any MCP client to browse, triage, search, read, and drive pi coding agent sessions through Pi Web's HTTP API via 25 tools. Supports listing and filtering sessions, reading transcripts, flagging conversations awaiting input, sending messages and waiting for replies, inspecting project diffs, and forking, renaming, or deleting sessions over either stdio or Streamable HTTP.

A tiny Hermes-friendly bridge that exposes oh-my-pi's CLI as MCP tools (prompt and doctor) for code generation and environment verification.

Enables delegating coding tasks to the Pi CLI through MCP with named sessions, synchronous or asynchronous execution, and a read-only transcript window on Windows.

Enables MCP hosts to delegate coding tasks to Pi CLI as a programmable sub-agent with session tracking and process management.

Enables coding agents to navigate and query source code by providing context, symbols, and call graph information through a graph index.

An MCP bridge for the Pi coding agent running in WSL, enabling task execution, research, review, and session management through MCP.

A server component of the Model Context Protocol that provides intelligent analysis of codebases using vector search and machine learning to understand code patterns, architectural decisions, and documentation.

A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.

Enables Claude Code to delegate coding implementation and testing to a local pi agent via MCP tools, including dispatching task books, monitoring status, steering or aborting runs mid-execution, and retrieving results and transcripts.

MCP server exposing pi coding-agent tools for file and shell operations, including read, write, edit, bash, grep, find, and ls.

Enables users to run shell commands with compressed output, extract information from large files, drive local opencode and Codex agents, perform browser-automation tasks, and monitor runs via a live dashboard.

Enables pi coding agent users to run Pega Infinity authoring tools as native pi tools, with read-only access by default and write tools behind an explicit opt-in flag.

Lets MCP clients create, resume, message, and stop Pi coding-agent sessions running on another machine, with conversations that survive client disconnects and server restarts. Sessions can be kept loopback-only or published privately to trusted callers over Tailscale HTTPS.

Enables running and supervising pi coding agents over RPC, with hot resume, cold resurrection from session files, sandboxed execution, lifecycle counters, and log/artifact inspection.

Enables delegating coding tasks to sandboxed agents, returning changes as auditable diffs for human review before applying or discarding them.

Enables coding agents like Cursor to access Figma design data, fetch layout and styling information, and implement designs in any framework.

Enables an assistant to run pi coding-agent tasks in the background: dispatching a task, polling its status and tool trace, reading the final result, and cancelling it when no longer needed, all without pulling the delegate's context into its own conversation.

https://gopls-mcp.org/ MCP server for golang projects development: Expand AI Code Agent ability boundary to have a semantic understanding and determinisic information for golang projects.

Enables Codex to supervise one or more local Pi coding-agent workers through bounded task execution, state polling, steering, aborting, and listing. Tasks can run in a direct working directory or isolated Git worktree while Codex remains the planner and reviewer.

Enables MCP clients such as Claude Code and Codex to delegate background Pi Coding Agent tasks, inspect and steer running work, and recover saved checkpoints after server restarts.

Enables Codex to delegate subtasks to concurrent background coding agents that can each run on any model provider supported by Pi, such as DeepSeek, Anthropic, Gemini, OpenRouter, or local models. Exposes MCP tools for listing models, spawning and waiting on agents, sending follow-ups, and aborting, backed by a live local web panel showing status, token usage, and streaming output.

Delegates bounded coding tasks from MCP clients to the Pi Coding Agent over stdio. Supports review, verification, implementation, and batch operations with long-running task polling.

Orchestrates multiple coding agents at once so an MCP client can delegate implementation work while retaining judgment: each agent runs in its own isolated git worktree and branch, claims the files it edits, and communicates via a mailbox and shared board. Supports blocking questions to the orchestrator, Codex-written acceptance tests locked before workers start, scope validation, and reporting on first-pass success.

Bridges MCP clients such as Claude Code to the pi coding agent by exposing sessions as tools: spawn an agent in a chosen directory and model, send it prompts, inspect token usage and cumulative cost against an optional per-session USD cap, list live sessions, and dispose of them. It runs outside the client's sandbox over local HTTP, letting sandboxed clients delegate real coding work to an LLM-backed agent.

Zettelkasten-based persistent memory for AI coding agents. Auto-saves atomic knowledge cards with \[\[bidirectional links]] after tasks and auto-recalls before new ones. No vector DB — plain markdown files with git sync. Works as Claude Code plugin or MCP server for Cursor, VS Code Copilot, Codex, and Windsurf.