Open in
Build with Claude Code, Codex or Cursor
Install ThunderPhone Agent Skills, connect the ThunderPhone MCP server, and give a coding agent current product documentation.
ThunderPhone provides three layers for coding agents:
| Layer | What it gives the agent |
|---|---|
| Agent Skills | Focused procedures for agents, prompts, numbers, calls, tools, webhooks, knowledge, testing, campaigns, widgets, realtime frameworks and migrations. |
| MCP | Authenticated tools cover agents, numbers, calls, testing, knowledge, tools/webhooks, campaigns, voices, imports and docs as they roll out; call tools/list for the live catalog. |
| Raw documentation | Current Markdown sources for product behavior and API details. |
Skills explain how to do the work. MCP lets the coding agent inspect and act on your organization. Raw docs provide the source material for questions outside a loaded skill.
Install in a project
This block installs the skills, makes the key available to the current shell, and adds the project-scoped MCP server to Claude Code. Replace the placeholder by reading the real value from your secret manager; do not paste a key into a repository or chat.
npx skills add thunderphone/skills
export THUNDERPHONE_API_KEY='replace-with-value-from-your-secret-manager'
claude mcp add --transport http --scope project \
--header 'Authorization: Bearer ${THUNDERPHONE_API_KEY}' \
thunderphone https://api.thunderphone.com/v1/mcpFor Codex, replace the final command with:
codex mcp add thunderphone \
--url https://api.thunderphone.com/v1/mcp \
--bearer-token-env-var THUNDERPHONE_API_KEYCursor reads a project configuration from .cursor/mcp.json:
{
"mcpServers": {
"thunderphone": {
"type": "http",
"url": "https://api.thunderphone.com/v1/mcp",
"headers": {
"Authorization": "Bearer ${env:THUNDERPHONE_API_KEY}"
}
}
}
}VS Code uses the same server under a servers key in .vscode/mcp.json:
{
"servers": {
"thunderphone": {
"type": "http",
"url": "https://api.thunderphone.com/v1/mcp",
"headers": {
"Authorization": "Bearer ${env:THUNDERPHONE_API_KEY}"
}
}
}
}Example session: bilingual dental receptionist
- Ask the coding agent to load
create-agent,thunderphone-prompt-builder,build-tool-integration,add-knowledge, andtest-agent. Tell it to plan first and not create resources yet. - Give it verified practice facts, supported tasks, escalation rules and the two required locales. Have it check the live voice catalog and supported languages instead of inventing a voice or locale.
- Ask for one production prompt built from general principles and facts. The agent should switch to the caller's supported language, keep speech concise, ask one question at a time, and avoid caller-response scripts.
- Have it define a narrow scheduling tool and attach only the knowledge the receptionist needs. Test tool success, no availability, invalid input, timeout and human handoff before deployment.
- Generate scenarios for both languages, interruptions, corrections, missing information, knowledge questions, scheduling failures and escalation. Run them, inspect transcripts and tool evidence, fix the smallest general rule, and rerun the same set.
- Review the exact draft and test evidence, then explicitly authorize deploy and number attachment. Place a controlled audio call in each language before moving real traffic.
Use REST instead of MCP when a build needs deterministic payloads, versioned
fixtures, bulk orchestration, or an operation not present in the current MCP
tool list. The API starts at https://api.thunderphone.com/v1; see the
API introduction and
MCP guide.