MCP Servers & Tooling Software Pricing 2026
Compare pricing for 7 mcp servers & tooling tools. Find the right software for your budget.
MCP Servers & Tooling software pricing ranges from $0 to $701 per user/month in 2026. The typical cost is around $12/user/month across 7 popular tools. Top picks: GitHub MCP (Free–$4/user/mo), Linear MCP (Free–$16/user/mo), Neon MCP (Free–$701/user/mo), and 4 more. 5 of 7 tools offer free tiers for small teams or limited use.
All MCP Servers & Tooling Tools
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GitHub MCP
Free–$4/month
Linear MCP
Free–$16/per user/month
Neon MCP
Free–$701/month
Supabase MCP
Free–$599/month
AgentKit MCP
Custom pricing
Atlassian MCP
Free–$14.54/users
MCP.run
Custom pricingNo matches
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MCP Servers & Tooling Pricing FAQ
01 What are MCP servers?
MCP (Model Context Protocol) servers are standardized connectors that expose tools, data, and resources to AI applications and agents. An MCP server lets a model securely call external systems (databases, SaaS apps, file systems, APIs) through a common protocol, so the same integration works across any MCP-compatible client like Claude or other agent runtimes.
02 How much does MCP server tooling cost?
Many MCP servers are open-source and free to self-host, so the base cost is the compute and maintenance to run them. Managed and gateway offerings layer on subscriptions priced by connectors, seats, or request volume, ranging from free developer tiers to enterprise plans. Budget separately for the LLM usage that the MCP tools drive.
03 Do I need to pay for MCP servers?
Not necessarily. The protocol is open and a large ecosystem of community MCP servers is free. You pay when you choose managed hosting, an MCP gateway for auth and rate limiting, premium connectors to commercial systems, or enterprise support and governance. Self-hosting open-source servers keeps direct costs near zero.
04 What hidden costs come with MCP deployments?
Common hidden costs include hosting and scaling the servers, securing them (auth, secrets, network egress), gateway or proxy fees for centralized governance, and the downstream LLM token spend when agents call many tools. Maintaining and updating connectors as upstream APIs change is an ongoing operational cost.