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blackwell-systems/agent-lsp

by Various

Your coding agent is editing blind. agent-lsp gives it type-aware navigation, blast-radius analysis, and pre-verified edits. 50 tools, 21 skills, 30 languages.

B

MCP

blackwell-systems/agent-lsp

Added 1 June 2026

#agentskills #ai-agents #ai-tooling #claude #claude-code #code-intelligence #code-quality #coding-agent

Overview

agent-lsp is a Go-based tool that provides coding agents with type-aware navigation, blast-radius analysis, and pre-verified edits. It exposes 50 tools and 21 skills across 30 programming languages, enabling agents to edit code with awareness of project structure and potential impacts.

Best for

Best for
Developers building or enhancing coding agents that need type-aware, safe code modification across many languages

Use cases

  • Give an agent type-aware code navigation and refactoring capabilities
  • Analyze the blast radius of a proposed edit before applying it
  • Pre-verify edits to reduce errors in automated code changes

Notes

agent-lsp is a Go-based tool that provides coding agents with type-aware navigation, blast-radius analysis, and pre-verified edits. It exposes 50 tools and 21 skills across 30 programming languages, enabling agents to edit code with awareness of project structure and potential impacts.

46 stars on GitHub. Last updated 2026-05-23. Licensed MIT.

Use cases

  • Give an agent type-aware code navigation and refactoring capabilities
  • Analyze the blast radius of a proposed edit before applying it
  • Pre-verify edits to reduce errors in automated code changes

Pros

  • Supports 30 languages, making it broadly applicable
  • Provides concrete tools and skills for agentic code editing
  • Reduces blind edits with pre-verification and impact analysis

Cons

  • Limited community adoption with only 46 GitHub stars
  • Requires integration into existing agent workflows
  • Go-based tool may not fit all development environments

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Supports 30 languages, making it broadly applicable
  • Provides concrete tools and skills for agentic code editing
  • Reduces blind edits with pre-verification and impact analysis

Cons

  • Limited community adoption with only 46 GitHub stars
  • Requires integration into existing agent workflows
  • Go-based tool may not fit all development environments