Data & Analytics · Token metrics + Claude
Token Metrics MCP with Claude: Live Crypto Analytics for Your Business Workflows
The short answer
Claude works with Token Metrics through the Model Context Protocol (MCP), an open standard that lets Claude securely read data from the tool. Once connected with an API key, Claude can fetch live crypto prices, analyse market trends and summarise portfolio movements from plain-English questions, while your team controls what it can access.
What is Token metrics?
Token Metrics is a data and analytics platform that provides real-time, AI-powered cryptocurrency data and insights through an API. It gives market analytics, prices and signals that feed crypto dashboards, research tools and automated trading systems. Users include crypto funds, trading desks, fintech product teams, analysts and developers building digital asset applications who need current, structured market information.
How Claude connects to Token metrics through MCP
The Model Context Protocol (MCP) is an open standard that works like a universal adapter between Claude and other software. It lets Claude use an outside tool securely, reading information and taking actions only within permissions that your organisation sets. Instead of copying figures by hand, your people can ask Claude questions and receive answers drawn from the live source.
Once Token Metrics is connected, Claude can read live crypto prices, pull market analytics and review trend information that your team has access to. Typical requests include asking which assets moved most in the last day, comparing two tokens over a set period, or summarising the signals relevant to a watchlist. Claude presents the results in plain language and tables that your team can check.
Permissions and approvals keep people in charge. Access is set to the least privilege needed, using the API key your organisation issues and can revoke at any time. Consequential steps, such as passing a signal into a trading system or sending a report to clients, can require a named person to approve before anything happens. Every request can be logged for review.
What you can automate
Morning Market Briefing
Each morning, Claude pulls overnight price moves and notable trend changes from Token Metrics and drafts a short briefing for the trading or research desk. Analysts review the draft, add context, and circulate it before markets open. This saves the first hour of manual data gathering and gives everyone the same starting picture.
Watchlist Monitoring
Operations or portfolio teams can ask Claude to check a defined list of tokens against agreed thresholds, such as sharp price swings or changes in trend strength. Claude flags the items that need attention and explains why. People decide what to do, so the team spends its time on judgement rather than scanning screens.
Portfolio Reporting for Clients
Client services teams can use Claude to turn raw market figures into clear monthly commentary on how holdings have performed. Claude drafts the narrative and tables, and a relationship manager checks accuracy and tone before anything is sent. This keeps reports consistent across clients and reduces preparation time.
Research Question Answering
Analysts often need quick answers to questions such as how a token's trend compares with its peers over the past quarter. Claude can retrieve the relevant figures and summarise them with the data it used, so the analyst can verify each point. This speeds up early-stage research without replacing the analyst's own conclusions.
Dashboard and Bot Support
Product and engineering teams can use Claude to explore Token Metrics data while building crypto dashboards or trading bots. Developers ask natural-language questions to test what data is available and how it behaves, then build the production integration with clear specifications. Claude speeds up the exploration stage of the work.
An end-to-end workflow: Daily Watchlist Alert to Team Chat and CRM
TriggerEvery weekday at 07:30, a scheduled run starts for the team's agreed token watchlist.
Claude requests current prices and trend data for each token on the watchlist from Token Metrics.
Claude compares the results with the thresholds the team has set and identifies movements that need review.
Claude writes a short summary of each flagged item, with the figures used, and posts it to the operations channel in Microsoft Teams.
A named analyst reviews the summary and marks each item as noted, actioned or dismissed.
Items marked for client follow-up are logged as tasks in the CRM for the relevant relationship manager.
The full run, including the data requested and the approvals given, is stored in the audit log.
OutcomeTeams start the day with a consistent, checked view of watchlist movements, client follow-ups are logged rather than missed, and every decision has a clear record. Typical time saved on manual monitoring is significant, though results vary by team and workload.
How we set it up
Free Automation Audit
We review how your team uses crypto market data today and identify the workflows worth automating. You receive a clear list of options ranked by value and effort, at no cost and with no obligation.
Secure API Key Connection
Your organisation issues a Token Metrics API key, which we store in a secure secrets manager. We connect Claude through the Token Metrics MCP server or direct API, using least-privilege access that matches the data each workflow needs.
Workflow Design and Approvals
We design the end-to-end workflow across Token Metrics and your other systems such as Microsoft 365, CRM or ticketing. We define which actions need a named person's approval before they take effect.
Testing Against Real Cases
We test the workflow against past market periods and real questions from your team. We check accuracy, handling of missing data and the quality of summaries, and adjust until the output meets your standards.
Launch, Monitoring and Training
We launch with monitoring, audit logs and alerts for failed requests, then train your team on how to ask questions, review outputs and manage access. We stay on hand during the first weeks of live use.
Who benefits
- Head of Trading or Research
- Gets consistent market briefings and faster answers to research questions, with the underlying data visible for checking.
- Operations Manager
- Receives automated watchlist monitoring that flags items for review, reducing manual screen-watching.
- Client Services Lead
- Produces clear, accurate portfolio commentary more quickly, with a human check before anything reaches clients.
- IT or Product Lead
- Gets a secure, governed connection with least-privilege access, logging and clear control over who can use it.
Security and control
- Access uses least-privilege API keys, which can be restricted and revoked at any time by your organisation.
- Consequential actions, such as passing signals into a trading system or sending client reports, require named human approval.
- Every request, data source and approval is recorded in audit logs for review.
- Outputs show the figures used so that people can verify them before acting.
- Claude's outputs are not financial advice, and your compliance team should set rules for how crypto market information is used.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can host the solution in their chosen region to meet their own data and regulatory requirements. Companies in India are supported under the Digital Personal Data Protection Act, 2023, with hosting in India available where required. Businesses in the UAE and Saudi Arabia are served under their respective data protection laws, with hosting chosen to match those obligations. Hosting region is selected during design, so it fits your requirements.
Learn more about Claude and MCP
Anthropic's AI model and assistant.
Secure links between Claude and business tools.
How engineers build and change software with Claude.
Hosted agents that run multi-step work.
The open standard Claude uses to connect to tools.
Frequently asked questions
What does the Token Metrics MCP server do?
The Token Metrics MCP server is a connector that lets Claude request Token Metrics data using natural language. It allows Claude to fetch live crypto prices, market analytics and trend information within the permissions you grant. It does not give Claude unrestricted control over your Token Metrics account, and access can be limited to the specific data your workflow needs.
Is connecting Token Metrics to Claude secure?
Security depends on the setup, and we design it carefully. The API key is stored in a secure secrets manager, access is limited to least privilege, and all requests are logged. Consequential actions can require human approval. We review your security requirements before connecting and document the controls for your IT team.
What can Claude do with Token Metrics once connected?
Typically, Claude can read live crypto prices, analyse market trends, review portfolio-related figures and answer natural-language questions about the data. It can then summarise results, draft reports or post alerts to your chosen systems. Any action that changes a trading position or sends external communication should go through a named approver.
How long does setup take?
Timelines vary with complexity. A single read-only workflow, such as a daily watchlist summary, can often be set up in a few weeks after the audit. More complex workflows involving several systems and approval steps take longer. We confirm the timeline during the free audit once we understand your requirements.
What plan or permissions do I need?
You need a Token Metrics API key issued by your organisation's account. The key's level of access determines which data Claude can retrieve, so we recommend confirming with your Token Metrics account the data your workflows require. We set the access on our side to the minimum needed and can advise on the appropriate permissions during the audit.