"Information about Gemini" matching MCP servers:

Local MCP runtime that gives persistent cross-session memory to 12 AI coding agents (Claude Code, Cursor, Codex, Gemini CLI, Windsurf, Amp, and more). SQLite-backed state survives context resets. Install: npm install -g @egchq/egc

Deploys and manages projects on Swigs Cloud from any MCP client, turning folders or git repositories into live HTTPS sites in about two minutes.

Aegis keeps Claude Code, Codex CLI and Antigravity on your project's rules via a zero-dependency Model Context Protocol (MCP) server (aegis-mcp), AGENTS.md / CLAUDE.md bootstrap, git pre-commit hooks, and CI governance (aegis check). It serves each agent just-in-time rules for the files it is about to edit, then enforces AST and repository invariants before commit and in pull requests.

Turns JUnit XML test reports from CI into queryable QA metrics, letting AI assistants answer plain-English questions about failures, flaky tests, regressions pinned to a commit, root-cause clusters, and performance drift. Also generates ready-to-share QA health reports and self-contained HTML dashboards without logging into separate tools.

An MCP server that connects Gemini 2.5 Pro to Claude Code, enabling users to generate detailed implementation plans based on their codebase and receive feedback on code changes.

Enables retrieving comprehensive information about GitLab merge requests, including details, commits, diffs, discussions, approvals, and CI/CD status, through natural language.

One workspace for every AI coding assistant. Governance tools for API lint, diff, persistent ledger, multi-model deliberation, security audit, and test verification. Works with Claude Code, Codex, Cursor, and Gemini CLI.

Enables AI assistants to answer questions about nixpkgs packages using nixkeeper's public data, covering outdated versions, Hydra build status and failures, update-bot attempts, related PRs and issues, CVEs, and what needs attention for a maintainer or team. It runs locally over stdio, reads only public data, and requires no account or token.

A git-native merge gate. mergelock check compares two branches before they meet and reports the conflicts git itself won't tell you about: a function whose signature changed on one branch while the other branch added calls to the old signature, a symbol deleted on one side but still used on the other, the same function written twice.

Enables interaction with the Tembo API to manage organization tasks and view enabled code repositories. Users can create, search, and list tasks or retrieve account information directly through MCP-compatible clients.

Enables interaction with Blacksmith CI analytics to query workflow runs, jobs, test results, and usage metrics. It provides detailed access to CI/CD data including job logs and billing information directly through Claude.

A Model Context Protocol server that allows management of Netlify sites, enabling users to create, list, get information about, and delete Netlify sites directly from an MCP-enabled environment.

A Model Context Protocol server that enables integration with GitHub Actions, allowing users to fetch available actions, get detailed information about specific actions, trigger workflow dispatch events, and fetch repository releases.

Enables AI assistants to interact with Terraform Cloud workspaces and runs, including checking run status, listing workspaces, and retrieving detailed information about workspaces and runs.

Enables issue-to-code automation for GitHub and GitLab by connecting AI assistants (Claude Code, Gemini CLI, Codex) via MCP, with slash commands for issue analysis, planning, implementation, testing, documentation, and PR creation.

MCP server for AppForShare. Lets Claude Code, Cursor, Codex, VS Code, Gemini CLI and other MCP clients upload iOS and Android builds, find install links, read the store readiness check and follow App Store and Google Play releases and reviews.

Serves MoleSignal's tools over stdio to AI agent tools such as Claude Code, Cursor, Codex, VS Code, or Gemini CLI, enabling them to query logs, metrics, traces, incidents, approvals, deployments, and other capabilities under the user's permissions and organization policy.

Give your coding agent the dependency graph it is about to change: scan, diff, explain, audit.

Enables automated analysis of Woodpecker CI pipeline failures with intelligent error detection and fix suggestions. Supports both direct pipeline analysis and IDE-integrated git-context analysis using repository names, PR numbers, or branch information.

Enables agents to lint MCP tool schemas inside a conversation, flagging JSON Schema constructs that break specific clients like Claude, Cursor, Gemini, VS Code Copilot, and OpenAI. It reports per-client compatibility, explains rules, and suggests or applies safe auto-fixes before deployment.

Enables users to estimate LLM token costs, enforce context-budget thresholds, compress prompts, and scan for leaked credentials before sending requests to Claude, OpenAI, or Gemini over stdio.

Enables AI coding agents to fetch the real latest versions of packages from npm, PyPI, crates.io and the Go module proxy, then check manifests or whole projects for outdated dependencies and rewrite them in place. It also reports the current releases and underlying dependency stacks of AI coding tools like Claude Code, Codex and Gemini CLI.

Enables AI assistants to list and retrieve repositories, fetch and create pull requests, and access pipeline information through cloud and server APIs with configurable authentication.

Builds a dependency and topology graph of a Kubernetes/FluxCD GitOps repository via static analysis, enabling AI agents to reason about service relationships without cluster access.

Enables AI agents to query and interact with Azure DevOps data, including work items, projects, ticket statistics, and backlog information through natural language commands.

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Enables managing Netlify sites, deploys, builds, environment variables, and user information through MCP tools backed by the Netlify REST API.

An AI-DevOps MCP server that gives LLMs read-only-by-default access to Kubernetes clusters, Prometheus metrics, and GitHub Actions, enabling natural language queries about infrastructure status and safe write operations with previews.

Enables an AI to statically audit GitHub Actions workflow files, parsing YAML with accurate line numbers and reporting findings about on: key quirks, expression injection risks, unpinned actions, effective token permissions, and cron scheduling.

A read-only MCP server that exposes a self-hosted Atlassian Bamboo instance to AI assistants, enabling natural language queries about builds, deployments, and plan status.