Engineering teamsMCPGovernance + Audit

One MCP server for your entire API ecosystem.

Stop the fragmentation: different MCP servers, direct APIs, and ad-hoc CLI tooling across the team. APIFunnel is the governed conduit for agent access—unified auth, policy controls, and auditability.

MCP Server URL

https://tool.apifunnel.ai/mcp/

IDE Setup Guide Engineering FAQ

Progressive discoverySecure execution sandboxesCentral policy + audit

APIFunnel: dozens of APIs flow into a governed tool surface

One conduit to engineering + product APIs.

Standardize access to the tools engineers actually use day-to-day—then expand to the rest of the org as needed.

Documentation

GitHub

Jira

Atlassian

Linear

Asana

Monday.com

Notion

Slack

Sentry

PagerDuty

Datadog

GitLab

Bitbucket

Don't see what you need? Request an integration from inside the dashboard—fast turnaround.

Reduce sprawl. Increase control.

This is the exact problem: teams adopt agency fast, but integrations fragment. APIFunnel makes it one standard surface.

Before: fragmented tool surface

Different choices per engineer → inconsistent governance

▸Multiple MCP servers for the same provider

▸Some direct APIs, some CLI, some wrappers

▸Secrets scattered across envs, repos, laptops

▸No single audit boundary for “agent did X”

After: one governed conduit

Standardize once; scale agency safely

▸One MCP server for the whole team

▸Unified auth + scoped permissions

▸Central policy controls + rate limiting

▸Audit + observability across tools and sandboxes

Built for engineering orgs.

Adopt agency without creating an ungoverned integration sprawl. APIFunnel is the standard interface layer for agent access to third-party APIs.

Skills (hosted)

Persisted, shareable building blocks in the cloud

Compile + publish immutable skills

Per-user storage + artifacts for long-lived reuse

Turn proven sequences into team standards

Scheduling

Run skills/workflows unattended on cron

Scheduled jobs with retries

On-demand runs for incident response

From “prompt” to reliable automation

Governance

One security boundary to review and enforce

Centralized auth and scoped permissions

Policy controls and least-privilege patterns

Audit trails for agent-driven actions

Discovery

Find capabilities at runtime, not in docs tabs

Tool discovery and schema inspection

Progressive integration onboarding

Less brittle workflows as APIs evolve

Standardization

One interface across Slack, Jira, GitHub, and beyond

Reduce duplicate integrations across teams

Consistent calling patterns and naming

Fewer “pet” MCP servers to maintain

Observability

Know what agents did, where, and why

Unified execution surface (tools + sandboxes)

Audit-friendly records of actions

Operational visibility for incidents

Workflows are a hosted service.

Skills persist in the cloud. Workflows wire skills together. You can run them on-demand or schedule them like a job runner—while still combining API orchestration and browser automation when needed.

▸Tasks: real-time execution

▸Skills: saved, componentized tasks

▸Workflows: skills wired into a cohesive process

Security + scheduling FAQ

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Workflow Engine: Discovery → Execution → Persistence

A single conduit to APIs + hosted skills + schedulable workflows

Pricing

We're in private beta. Request access to get early pricing and help shape the roadmap.

Security + architecture FAQ

Ready to wire it into your IDE?

Copy the config, connect once, and standardize access for every engineer and every agent.

Open IDE setup View docs