How should ai-tech-talk be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this mcp.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

ai-tech-talk answer-first brief

OpenClaw agent: ai-tech-talk Hands-On MCP This guide explains how to set up and use the MCP (Model Context Protocol) server that will be used in our Hands-On meetup tasks. You need to set up the environment before our Meetup session. To validate your setup, you should test the environment using the MCP Inspector (explained below) and complete Task 0. Prerequisites - $1 - $1 - $1 - $1 - $1 What is MCP: A Model Context Protocol (MCP) is a standard Published capability contract available. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

ai-tech-talk is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 80/100

ai-tech-talk

MCPverified

Public facts

Change events

Artifacts

Freshness

Feb 22, 2026

Verifiededitorial-content1 verified compatibility signal4 GitHub stars

Published capability contract available. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 2/24/2026.

4 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 22, 2026

Vendor

Joinplank

Artifacts

Benchmarks

Last release

1.0.0

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/joinplank/ai-meetup-ts.git

1
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Joinplank

profilemedium

Observed Feb 24, 2026Source link Provenance

Compatibility (2)

Protocol compatibility

MCP

contracthigh

Observed Feb 24, 2026Source link Provenance

Auth modes

mcp, api_key

contracthigh

Observed Feb 24, 2026Source link Provenance

Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh

Observed Feb 24, 2026Source link Provenance

Adoption (1)

Adoption signal

4 GitHub stars

profilemedium

Observed Feb 24, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

Examples

Snippets

Languages

typescript

Executable Examples

text

## Setup Instructions

1. **Install Dependencies**

This will install all the dependencies we will need in our project.

text

1.1. **Running Docker Compose**

Run Docker Compose to start the Postgres database we will use in tasks 2 and 3.
It will automatically create a table called `llm_prompts` with 20 sample prompts.

text

After running Docker Compose, you should be able to connect to the database using PgAdmin with the following connection string:

text

1.2. **Running MCP Inspector**

This will run the MCP Inspector, a test interface to call the tools, resources, and prompts that will be available on this MCP Server.

text

For windows machines use:

text

1.3. **Access the MCP Inspector endpoint**

This link will open the MCP Inspector, a tool to help test the tools we will create during our meetup session. After opening it, you should:

- Click on the "Connect" button.
- Click on "Tools" in the main menu.
- Click on the "List Tools" button.
- Click on the "health-check" tool in the list.
- Fill in the input text "test_string" with any random string.
- Click on "Run tool".
- The message "Tool Result: Success" should be displayed.

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Full README

Hands-On MCP

This guide explains how to set up and use the MCP (Model Context Protocol) server that will be used in our Hands-On meetup tasks.

You need to set up the environment before our Meetup session. To validate your setup, you should test the environment using the MCP Inspector (explained below) and complete Task 0.

Prerequisites

What is MCP:

A Model Context Protocol (MCP) is a standardized interface that allows different AI models, tools, and resources to communicate and work together seamlessly. MCP servers act as a bridge between users and various AI capabilities, making it easy to integrate, manage, and orchestrate complex workflows involving multiple models and data sources.

Tools: Discrete functions or actions that can be executed by the MCP server, such as running code, querying a database, or calling an external API, and can be called by an LLM.
Resources: Data sources or assets that can be accessed or manipulated by tools or prompts, like files, databases, or knowledge bases.
Prompt: A template or instruction set that guides the AI model's behavior, often used to generate responses, perform tasks, or interact with tools and resources.

Cloning the repo:

git clone git@github.com:joinplank/ai-meetup-ts.git

Setup Instructions

Install Dependencies

This will install all the dependencies we will need in our project.

npm install

1.1. Running Docker Compose

Run Docker Compose to start the Postgres database we will use in tasks 2 and 3. It will automatically create a table called llm_prompts with 20 sample prompts.

docker compose up

After running Docker Compose, you should be able to connect to the database using PgAdmin with the following connection string:

postgres://postgres:postgres@localhost:5434/postgres

1.2. Running MCP Inspector

This will run the MCP Inspector, a test interface to call the tools, resources, and prompts that will be available on this MCP Server.

npm run start-inspector

For windows machines use:

npm run start-inspector:win

1.3. Access the MCP Inspector endpoint

This link will open the MCP Inspector, a tool to help test the tools we will create during our meetup session. After opening it, you should:

Click on the "Connect" button.
Click on "Tools" in the main menu.
Click on the "List Tools" button.
Click on the "health-check" tool in the list.
Fill in the input text "test_string" with any random string.
Click on "Run tool".
The message "Tool Result: Success" should be displayed.

http://127.0.0.1:6274/

Hands-On Tasks

These are the tasks we will be doing during our hands-on session. Task 0 should be done at home before the meetup to ensure your environment is configured.

TASK 0 (Homework) – Try to call the health check tool using the MCP Inspector. Follow the instructions in section 1.3 to do this.
TASK 1 (Basic - Understanding MCP Tools) - Create a hello world tool to convert miles to kilometers using the formula: kilometers = miles * 1.60934
TASK 2 (Intermediate - Similarity Search) - Create a tool to receive a query and return the most similar items in the database
TASK 3 (Advanced - Add and Update Embedding Column) - Add a new column to the database to store the embeddings and update the database with the embeddings
BONUS TASK 1 - (Advanced - Streamable MCP Server) - Based on the example on the NPM link: (https://www.npmjs.com/package/@modelcontextprotocol/sdk#streamable-http)
- Implement a new function runMcpServerStreamable() that will use the streamable HTTP transport to send messages to the client.
- It should use the same tools as the runMcpServer() function.
- Use mcp-client.ts to test the communication between the server and the client.
- To run this server you will have to use npm run start

Trying the MCP Tools using Claude Desktop

Click on Claude
Settings
Developer
Edit Config
Open the file: claude_desktop_config.json

Use the JSON below to enable your MCP Server and update the path to your build file:

{
    "mcpServers": {
        "github": {
            "command": "node",
            "args": ["path/to/your/mcp-server.js"]
        }
    }
}

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

Yes

Data region

global

Protocol support

MCP: verified

Requires: mcp, lang:typescript, streaming

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.

Trust confidence is not low and verification freshness is acceptable.

Protocol support is explicitly confirmed in contract metadata.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/snapshot"

curl -s "https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/contract"

curl -s "https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

GITLAB_AI_CATALOGgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-openapi

Rank

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-actix-web

Rank

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP

Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "lang:typescript",
    "streaming"
  ],
  "forbidden": [],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": true,
  "inputSchemaRef": "https://github.com/joinplank/ai-meetup-ts#input",
  "outputSchemaRef": "https://github.com/joinplank/ai-meetup-ts#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:46:51.246Z",
  "sourceUpdatedAt": "2026-02-24T19:46:51.246Z",
  "freshnessSeconds": 4436396
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T04:06:48.083Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "supported",
      "confidenceSource": "contract",
      "notes": "Confirmed by capability contract"
    }
  ],
  "flattenedTokens": "protocol:MCP|supported|contract"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:51.246Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:51.246Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/joinplank/ai-meetup-ts#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:51.246Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Joinplank",
    "href": "https://github.com/joinplank/ai-meetup-ts",
    "sourceUrl": "https://github.com/joinplank/ai-meetup-ts",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "4 GitHub stars",
    "href": "https://github.com/joinplank/ai-meetup-ts",
    "sourceUrl": "https://github.com/joinplank/ai-meetup-ts",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-joinplank-ai-meetup-ts/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]