
Pengu.inc MCP server
Which MCP servers are Pengu.inc's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-10
- Addresshttps://audn.ai/api/mcpnot in the official registry: answered when asked
No entry in the official MCP registry names this server. It answered on audn.ai when the Atlas asked at the address servers are usually mounted on, so it is the vendor's own. Clients and catalogues that list servers from the registry do not show it.
- Stateanswerschecked 2026-10-27
- Tools43
- Server calls itselfaudn-ai
- Server version0.1.0
- Protocol version2025-06-18
On 2026-10-27 the server answered initialize and tools/list without a sign-in. First answer in 132 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 1 of the 7 days it takes to judge reliability.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 1 so far
- Answeredmeasuring1 of the 7 daily checks it takes to print a share
- Median first answer468 ms
- Space in an agent's context≈ 2,740 tokensthe definitions of all its tools (43), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results0 of 43 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
audn_assess_agentUse this when the user wants a quick risk scorecard for a voice agent based on phone number, inbound/outbound setup, guardrails, and failure modes. Returns top risks and recommended adversarial tests.
audn_api.executeCampaignExecute a security testing campaign. Supports both voice and text campaigns: - Voice campaigns: Initiates phone calls using the configured voice platform - Text campaigns: Sends API requests to the configured text agent endpoint The…
audn_api.getCampaignStatusRetrieve current execution status details for a campaign
audn_api.getCampaignRetrieve the current status and results of a campaign
audn_api.deleteCampaignDelete a campaign by ID
audn_api.listCampaignsRetrieve a list of campaigns
audn_api.createCampaignCreate a new testing campaign
audn_api.listAgentsRetrieve a list of voice agents
audn_api.createAgentCreate a new voice agent
audn_api.getAgentRetrieve a specific agent by ID
audn_api.updateAgentUpdate an existing agent
audn_api.deleteAgentDelete an agent by ID
audn_api.verifyAgentPhoneSend or verify phone verification codes for agents
audn_api.verifyTextAgentVerify a text agent by sending a test "hello" message to the configured API endpoint. Returns verification status, response preview, and latency information.
audn_api.listScenariosRetrieve available attack scenarios
audn_api.listUserScenariosRetrieve reusable scenarios available to the user
audn_api.createScenarioCreate a new attack scenario tied to a campaign
audn_api.getScenarioRetrieve details for a scenario
audn_api.updateScenarioUpdate an existing scenario
audn_api.deleteScenarioDelete a scenario by ID
audn_api.listCustomScenariosRetrieve custom scenarios created by the user
audn_api.createCustomScenarioCreate a custom scenario
audn_api.updateCustomScenarioUpdate an existing custom scenario
audn_api.executeCustomScenarioExecute a custom scenario test run
audn_api.listResultsRetrieve test results with pagination and filters
audn_api.getResultByIdRetrieve detailed information for a specific test result
audn_api.getResultsRetrieve test results for campaigns
audn_api.listReportsRetrieve a list of reports with optional pagination and filters
audn_api.generateReportGenerate compliance or vulnerability report
audn_api.getReportRetrieve report details by ID
audn_api.regenerateReportRegenerate report artifacts for a report
audn_api.listApiKeysRetrieve a list of API keys
audn_api.createApiKeyCreate a new API key
audn_api.revokeApiKeyRevoke an existing API key
audn_api.revokeApiKeyLegacyRevoke an API key using key_id identifier
audn_api.rotateApiKeyLegacyRotate an API key secret by key_id
audn_api.listAuditLogsRetrieve a list of audit logs
audn_api.getCurrentUserProfileRetrieve the authenticated user's profile information
audn_api.updateCurrentUserProfileUpdate the authenticated user's profile
audn_api.getHumeAudioRetrieve a signed URL to stream reconstructed audio from Hume for a given chat
audn_api.listVulnerabilitiesRetrieve a list of detected vulnerabilities
audn_api.getCampaignRecoveryHealthGlobalRetrieve global status of campaign recovery workers and stuck campaigns
audn_api.recoverCampaignsKick off recovery process for all eligible stuck campaigns
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"audn": {
"type": "http",
"url": "https://audn.ai/api/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http audn https://audn.ai/api/mcpclaude.ai, ChatGPT and other clients: add https://audn.ai/api/mcp as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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