3,400+ MCP servers ready to use
Vinkius

Bring Llm Observability
to LangChain

Learn how to connect Keywords AI to LangChain and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Check Keywordsai StatusGet AnalyticsGet CreditsGet RequestGet Usage StatsGet UserList AlertsList ModelsList RequestsList Requests By ModelList Users
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the Keywords AI MCP Server?

Connect your Keywords AI account to any AI agent and monitor LLM performance.

What you can do

  • Request Logs — List and filter all LLM API calls by model
  • Cost Tracking — Monitor credit balance and usage statistics
  • Analytics — View cost trends, latency metrics, and error rates
  • Model Catalog — Browse available LLM models
  • Team Management — List users and view activity
  • Alerts — Review monitoring thresholds

Built-in capabilities (11)

check_keywordsai_status

Verify API connectivity

get_analytics

Get analytics dashboard

get_credits

Get credit balance

get_request

Get request details

get_usage_stats

Get usage statistics

get_user

Get user details

list_alerts

List monitoring alerts

list_models

List available models

list_requests

List API request logs

list_requests_by_model

List requests by model

list_users

List team users

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Keywords AI through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

  • —

    The largest ecosystem of integrations, chains, and agents. combine Keywords AI MCP tools with 500+ LangChain components

  • —

    Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

  • —

    LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

  • —

    Memory and conversation persistence let agents maintain context across Keywords AI queries for multi-turn workflows

See it in action

Keywords AI in LangChain

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Keywords AI and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Keywords AI to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for LangChain →
Enterprise Security

Why teams choose Vinkius for Keywords AI in LangChain

The Keywords AI MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 11 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Use with Your AI Agent View full Keywords AI details →
Keywords AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures Keywords AI for LangChain

Every tool call from LangChain to the Keywords AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can my AI track LLM costs?

Yes. get_credits shows your balance, get_usage_stats breaks down costs by model and time period.

02

Can I filter request logs by model?

Yes. list_requests_by_model returns only requests made to a specific LLM.

03

What analytics are available?

get_analytics provides cost trends, latency percentiles, error rates, and token usage over time.

04

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

05

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

06

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters