Vexa
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
Beschreibung vom Entwickler (englisches Original)
Person and company profiles, company search and logos, work emails and email checks
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
ENRICHLAYER_API_KEYAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"v3": {
"command": "npx",
"args": [
"-y",
"@enrichlayer/mcp-server-v3"
],
"env": {
"ENRICHLAYER_API_KEY": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add v3 --env ENRICHLAYER_API_KEY=your-value -- npx -y @enrichlayer/mcp-server-v3Trag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"v3": {
"command": "npx",
"args": [
"-y",
"@enrichlayer/mcp-server-v3"
],
"env": {
"ENRICHLAYER_API_KEY": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"v3": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@enrichlayer/mcp-server-v3"
],
"env": {
"ENRICHLAYER_API_KEY": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto enrichlayer bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: ENRICHLAYER_API_KEY
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.2.0) kam vorgestern in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Vexa, emailmd, MCP WhatsApp Cloud
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.
MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
An MCP server for the Enrich Layer v3 API on api.enrichlayer.com. It gives an AI agent six tools: person and company profiles, company search, company logos, work email search and email validation.
This is a separate server from the v2 one (@enrichlayer/mcp-server), which keeps working as before.
ENRICHLAYER_API_KEY. Every successful call is charged to that account; the result shows the credits charged in creditCost. Calls that end in an error are not charged.Most clients keep the key in their config file, so keep that file private. VS Code asks for the key instead and stores it for you.
The button opens Cursor's install link (cursor://anysphere.cursor-deeplink/mcp/install?...). The link carries no key: after the server is added, replace with your key in Cursor's MCP settings.
To add it by hand, put this block into ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project):
{
"mcpServers": { "enrichlayer-v3": { "command": "npx", "args": ["-y", "@enrichlayer/mcp-server-v3"], "env": { "ENRICHLAYER_API_KEY": " " } } } }
Install Enrich Layer v3 in VS Code
The link opens VS Code's install link (vscode:mcp/install?...). VS Code asks for the API key when the server first starts.
To add it by hand, put this into .vscode/mcp.json in the workspace, or into the MCP configuration of your user profile:
{
"inputs": [ { "type": "promptString", "id": "enrichlayer-api-key", "description": "Enrich Layer API key", "password": true } ], "servers": { "enrichlayer-v3": { "type": "stdio", "command": "npx", "args": ["-y", "@enrichlayer/mcp-server-v3"], "env": { "ENRICHLAYER_API_KEY": "${input:enrichlayer-api-key}" } } } }
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows) and add the same mcpServers block as for Cursor. Quit and reopen Claude Desktop. Server logs are in ~/Library/Logs/Claude/mcp-server-enrichlayer-v3.log on macOS.
claude mcp add --env ENRICHLAYER_API_KEY=<your API key> --transport stdio enrichlayer-v3 -- npx -y @enrichlayer/mcp-server-v3
codex mcp add enrichlayer-v3 --env ENRICHLAYER_API_KEY=<your API key> -- npx -y @enrichlayer/mcp-server-v3
Codex stops a tool call after 60 seconds by default. Raise the limit in ~/.codex/config.toml:
[mcp_servers.enrichlayer-v3]
command = "npx" args = ["-y", "@enrichlayer/mcp-server-v3"] env = { ENRICHLAYER_API_KEY = " " } tool_timeout_sec = 310
Add the same mcpServers block as for Cursor to the MCP config file named in the Windsurf MCP docs: ~/.config/devin/mcp_config.json on macOS and Linux, %AppData%/devin/mcp_config.json on Windows. Cascade opens this file with its "Open MCP config file" action. Instead of the key itself you can write ${env:ENRICHLAYER_API_KEY} there and keep the key in your environment.
Open the … menu of the agent panel → MCP Servers → Manage MCP Servers → View raw config, or edit ~/.gemini/config/mcp_config.json (.agents/mcp_config.json for one workspace). Add the same mcpServers block as for Cursor, with a longer tool call limit — Antigravity's default is 180 seconds:
{
"mcpServers": { "enrichlayer-v3": { "command": "npx", "args": ["-y", "@enrichlayer/mcp-server-v3"], "env": { "ENRICHLAYER_API_KEY": " " }, "timeoutSeconds": 310 } } }
| Tool | v3 endpoint | What it does |
|---|---|---|
get_person_profile | GET /v3/person | One person by exactly one identifier: profile (LinkedIn URL or username), email, twitter, facebook or github. Optional sections: socialLink, phoneNumber, personalEmail, workEmail, careerInsight, developerProfile, activities. |
get_company_profile | GET /v3/company | One company by its LinkedIn company or showcase page url. Optional sections: fundingData, exitData, acquisitions, extra, activities. |
search_companies | GET /v3/company/search | Companies matching a name (q), up to 10. |
search_company_logos | GET /v3/company/logo | Companies matching a name or domain (q), with logo URLs. |
find_work_emails | GET /v3/email/prospect | Work email candidates for full_name, or first_name and/or last_name, at a company domain. |
validate_email | GET /v3/email/validate | Whether one email address is deliverable. |
The input schemas are generated from the published v3 OpenAPI spec, so parameter names and allowed values are the ones v3 accepts.
Ask only for the sections you need. A full person profile can be long: Claude Code warns above 10,000 tokens of tool output and cuts it at 25,000 by default (raise MAX_MCP_OUTPUT_TOKENS if you need more).
get_person_profile with personalEmail or workEmail returns only addresses validated as deliverable. To find someone's work email from a profile URL, pass profile and workEmail: "include"; if contactInformation.emails.work is empty, find_work_emails with the person's name and company domain may still find candidates.find_work_emails returns candidates, each with a validation verdict in validity; only valid is confirmed deliverable.validate_email returns the verdict in emailStatus.data — the full v3 answer, unchanged.creditCost — credits charged for the call, from the X-EnrichLayer-Credit-Cost header.requestId — the X-Request-Id of the call; quote it to support.The result comes as MCP structured content and as the same JSON in a text block.
Errors come back as tool errors with a readable message, creditCost, requestId and the next step to take: invalid parameters (400), an invalid or missing key (401), not enough credits or no access (403), not found (404), no copy fresh enough (409, with the age of the newest cached copy), rate limit (429) and service errors (5xx). The server retries 429 and 5xx twice before it reports them.
get_person_profile and get_company_profile take maxAgeSeconds: the oldest cached copy you accept. By default it is 30 days, and the answer usually comes in seconds. A small value starts a live lookup, which is slower and costs more: it can take up to 5 minutes, and the server waits up to 305 seconds.
MCP clients limit how long a tool call may run. Set the limit to at least 310 seconds where the client allows it:
MCP_TOOL_TIMEOUT for all servers, or a timeout in milliseconds for one server in .mcp.json.tool_timeout_sec, 60 seconds by default.timeoutSeconds, 180 seconds by default.A call cut off before the answer arrives may still be charged. To get the copy that was saved in the meantime, call again without maxAgeSeconds; do not repeat a live lookup right away.
| Variable | Required | Default |
|---|---|---|
ENRICHLAYER_API_KEY | yes | — |
ENRICHLAYER_API_BASE_URL | no | https://api.enrichlayer.com |
The same tools are served over HTTP at https://mcp.enrichlayer.com/v3/mcp. Add that address as a remote MCP server in your client; the client opens the Enrich Layer sign-in page, where you paste your API key. Calls then spend that account's credits, as with the local server.
The server behind that address is the enrichlayer-mcp-v3-http command of this package. It serves Streamable HTTP without sessions, so any instance can answer any request:
| Path | What it does |
|---|---|
POST /v3/mcp | MCP requests; needs a Bearer access token from the sign-in service |
GET /.well-known/oauth-protected-resource/v3/mcp | Tells the client where to sign in |
GET /v3/health | {"status":"ok","version":" "} |
| Variable | Required | Default |
|---|---|---|
MCP_BASE_URL | yes | — (the public origin; access tokens must be issued by it and for it) |
AUTH_JWT_SECRET | yes | — (the secret the sign-in service signs access tokens with) |
PORT | no | 3000 |
ENRICHLAYER_API_BASE_URL | no | https://api.enrichlayer.com |
SENTRY_DSN, SENTRY_ENVIRONMENT | no | errors are not reported |
Each tool call writes one JSON line to stdout with the tool, the API status, creditCost, requestId, the time it took and the client name; keys, tokens and parameters are never logged.
A tag v also builds the image ghcr.io/enrichlayer/mcp: . To build and run it locally:
docker build -t enrichlayer-mcp-v3 .
docker run --rm -p 3000:3000 -e MCP_BASE_URL=http://localhost:3000 -e AUTH_JWT_SECRET= enrichlayer-mcp-v3 curl http://localhost:3000/v3/health
npm ci
npm test # build, then unit and conformance tests npm run update-spec # refresh spec/v3-openapi.json from the published spec npm run gen:params # regenerate src/generated/v3-params.ts from the spec copy
CI checks the types and runs the tests on Node 20, 22 and 24, and fails when the published v3 spec differs from spec/v3-openapi.json.
server.json describes the server for the official MCP registry. Its name, version and package must match package.json; a test checks this.
To release, set the version in package.json and server.json and push the tag v . The tag runs the same checks and stages the version on npm; the package owner publishes it from Staged Packages on npmjs.com. Then run the Registry workflow by hand from the Actions tab to publish server.json to the MCP registry. The registry takes each version only once, so running the workflow again for the same version fails.
MIT