mcpField
T
TAP

TAP

Remote
tap.human.techSecurity13Updated 14w ago

About TAP

TAP is an open-source proxy runtime for teams building AI agents, isolating credentials and routing connector requests through policy checks and approval flows. Its repository also includes approval bots, a CLI, and a remote MCP server.

Key features

  1. 01Credential placeholder substitution
  2. 02Connector request routing
  3. 03Policy enforcement and approvals
  4. 04Telegram and Matrix approval bots
  5. 05CLI and core proxy components

Use cases

  1. 01Keep credentials out of AI agents
  2. 02Require approval for protected requests
  3. 03Inspect connector routing and failed requests

MCP support

Includes `tap-mcp`, a remote MCP server. The README does not detail which tools or resources it exposes.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.tap.human.tech/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.tap.human.tech/mcpAuth required

Tools

Details

From the project README

Tool Authorization Protocol (TAP)

Credential isolation, approval gating, and connector routing for AI agents.

This repository contains the code that is most useful for:

  • auditing request routing and connector behavior
  • debugging failed requests
  • understanding approval flows
  • improving connector-side request shaping
  • contributing fixes to the core TAP experience

Warning

Self-hosting means you own the security of your credentials and signing keys. TAP keeps secrets out of your agents, but running it yourself puts the host hardening, key isolation, and correct policy-engine operation on you. It's a path for teams that are well versed in security. For everyone else the hosted version is strongly recommended: credentials sit in a hardware enclave we can't read into, with no ops to run. Start free at tap.human.tech.

Start Here

  • crates/tap-proxy/src/routing.rs — how TAP resolves connector target shapes
  • crates/tap-proxy/src/placeholder.rs — credential substitution and position validation
  • crates/tap-proxy/src/policy.rs — approval policy enforcement
  • docs/ — full documentation including self-hosting guide

Included

  • core proxy and storage crates
  • Telegram and Matrix approval bots
  • remote MCP server (tap-mcp)
  • CLI
  • docs (self-hosting, API reference, credential setup)

Not Included

  • enclave deployment glue (CCE policy generation, release-policy automation, ARM templates, env config)
  • production workflows and secret bootstrapping
  • managed hosting operations glue
  • the hosted dashboard UI source (a placeholder is shipped so the proxy compiles)

The enclave key-management source is included (key_provider_enclave.rs, kms_azure.rs, skr.rs) — it's the custody model documented at docs.tap.human.tech/security, and each hosted release's enclave measurement is published in measurements/. Hosted deployment and operational infrastructure are maintained separately from this repository.

Security

See SECURITY.md to report a vulnerability.

License

Apache-2.0: free to use, read, modify, and self-host. This repo is the open-source TAP runtime (tap-core, tap-proxy, tap-bot, tap-cli, tap-mcp). The hosted dashboard and managed-service deployment glue are proprietary and live in a separate private repo.

Contributing

See CONTRIBUTING.md.

Testing

# Needs Postgres (default postgres://tap:tap@localhost:5434/tap, override with
# POSTGRES_DATABASE_URL). Isolated suites parallelize; env-mutating unit tests stay serial.
cargo test -p tap-core
cargo test -p tap-proxy --test integration --test e2e
cargo test -p tap-proxy -p tap-bot -p tap-cli --lib --bins -- --test-threads=1

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.