agent-lsp is a stateful runtime that enhances code operations for AI agents by maintaining a persistent session over language servers and providing a skill layer for correct multi-step workflows.
From the registry: Stateful LSP runtime for AI agents — 50+ tools across 30+ languages via MCP.
$ npm install -g @blackwell-systems/agent-lsphttps://github.com/blackwell-systems/agent-lspPlease install the `agent-lsp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install agent-lsp binary** — Install via curl, Homebrew, npm, or go install Run: `npm install -g @blackwell-systems/agent-lsp` (https://github.com/blackwell-systems/agent-lsp)
- **Install language servers** — Install the LSP servers for your stack (e.g. typescript-language-server, pyright, gopls, rust-analyzer, clangd)
Canonical MCP server config (stdio transport):
- command: `agent-lsp`
- args: ["go:gopls","typescript:typescript-language-server,--stdio","python:pyright-langserver,--stdio"]
Note: Each arg is `language:server-binary` (comma-separate server args). Run `agent-lsp init` for interactive config generation.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Validate oh-my-posh configurations and segment snippets against the official schema.
Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.