Bond-OpenAI MCP
Enables MCP-compatible agents to make safe, consented phone calls using Twilio and Deepgram.
README
Bond-OpenAI — voice actions for every software agent
One local MCP server. Any compatible agent. One phone task completed.
Bond-OpenAI gives Bond, Codex and other MCP-compatible software a safe telephone action. Clone the repository, bootstrap once, connect the MCP, and let the agent turn a task such as “call the restaurant and reserve a table” into a real consented conversation.
The product
Bond task / Codex prompt
↓
Local Bond-OpenAI MCP
classify → clarify → preview → call
↓
Fredo phone runtime
Twilio verified caller + Deepgram voice agent
↓
Structured result returned to the originating task
Bond finds the work. Codex understands the intent. Fredo makes the call.
Quick start
git clone https://github.com/Caezarr/Bond-OpenAI.git
cd Bond-OpenAI
./scripts/bootstrap.sh
uv run bond-mcp doctor
uv run bond-mcp serve
The first run installs pinned dependencies and local tools. The user never
copies shell commands from an agent response and never puts a secret in a task.
For the public demo, provider credentials stay in the operator relay and the
user only needs the public demo/profile.json configuration. A local .env
is required only when running the provider directly.
MCP tools
bond.classify_task(task_text, context)
bond.create_phone_task(task_input, idempotency_key)
bond.get_phone_task_status(call_id)
bond.cancel_phone_task(call_id)
The same contract works from Bond, Codex, an IDE agent, or any MCP client. The adapter is local and provider-neutral; Fredo is the default phone executor.
See docs/MCP.md for the two-click client setup. See docs/DEMO-RELAY.md for the no-credential jury flow.
Safety by default
- explicit consent is required;
- E.164 destinations and Fredo's exact allowlist are enforced;
- only a verified caller identity is used;
- a human confirmation happens before dialing;
- one active call and a 180-second cap;
- recording is disabled;
- the agent discloses its synthetic voice and no recording;
- duplicate requests are idempotent;
- raw audio, secrets and full phone numbers stay out of logs.
Rejecting the preview means zero carrier call.
Project goals
- GOAL-BOND-MCP.md — software and MCP contract.
- GOAL-BOND-DESIGN.md — website, deck and visual system.
- GOAL-BOND-VOICE.md — goal index.
Current runtime boundary
The current phone engine uses Twilio for PSTN access and Deepgram for hosted speech recognition, dialogue and text-to-speech. The MCP itself runs locally. This repository does not claim local inference, recording, voice cloning or unattended bulk calling.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.