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Connect AI agents to multiple APIs through one unified MCP gateway.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agentbridge" yet — see the docs or source repo.
Using agentbridge, design an MCP integration plan so an AI agent can call a CRM, ticketing system, and internal knowledge base through one stdio endpoint. Include recommendations for auth, rate limiting, and logging/observability.
A unified integration plan covering architecture, tool mapping, authentication, rate limiting, and observability recommendations.
My external API calls through agentbridge often fail. Give me a troubleshooting checklist focused on MCP endpoint configuration, authentication errors, rate-limit hits, and log tracing methods.
A step-by-step troubleshooting checklist to identify configuration, permission, rate-limiting, or observability issues.
Create a team guideline for using agentbridge, including when to onboard new tools through the unified gateway, how to configure secure authentication, how to set rate-limit thresholds, and how to monitor agent call quality.
A draft implementation guideline covering onboarding standards, security requirements, traffic controls, and monitoring metrics.
Run deterministic agent orchestration with task decomposition, subagents, and review feedback.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Aggregate local MCP servers into one endpoint with runtime control and hot reload.
Securely expose OpenAPI endpoints as MCP tools with auth, limits, and auditing.
Fetch, crawl, and search the web for AI agents in clean Markdown.
Add agentic tools with iterative reasoning and tool use to apps