MCP Everything Server

v2025.9.25

Anthropic

MCPmetaall-in-onemcpmodel-context-protocol
79
Strong
About This MCP

Official Anthropic reference MCP server demonstrating all protocol features including tools, resources, prompts, and sampling. Designed for testing, development, and as a comprehensive example implementation. Not intended for production use but essential for MCP protocol understanding and testing.

Last Evaluated: November 9, 2025
Official Website

Trust Vector Analysis

Dimension Breakdown

🚀Performance & Reliability
+
feature completeness

Feature coverage assessment

Evidence
MCP Everything ServerImplements all MCP protocol features for comprehensive testing
highVerified: 2025-11-09
protocol compliance

Protocol compliance testing

Evidence
MCP Protocol SpecificationFull compliance with MCP protocol specification
highVerified: 2025-11-09
test reliability

Testing reliability assessment

Evidence
Implementation ReviewReliable for testing and development purposes
mediumVerified: 2025-11-09
example accuracy

Example validation

Evidence
Code ExamplesAccurate examples demonstrating best practices
highVerified: 2025-11-09
production readiness

Production readiness assessment

Evidence
DocumentationExplicitly not designed for production use; reference implementation only
highVerified: 2025-11-09
🛡️Security
+
test data security

Data security assessment

Evidence
Security AnalysisUses mock data for testing; minimal real data exposure
mediumVerified: 2025-11-09
capability exposure

Capability exposure testing

Evidence
Implementation ReviewExposes all protocol capabilities for testing; not security-hardened
highVerified: 2025-11-09
production deployment risk

Deployment risk assessment

Evidence
Security GuidelinesHigh risk if deployed in production; not security-hardened
highVerified: 2025-11-09
input validation

Input validation testing

Evidence
Implementation ReviewBasic input validation for testing purposes
mediumVerified: 2025-11-09
resource limits

Resource limit testing

Evidence
Implementation AnalysisLimited resource protection; designed for controlled testing
mediumVerified: 2025-11-09
🔒Privacy & Compliance
+
mock data usage

Data usage analysis

Evidence
Implementation ReviewUses synthetic test data; minimal real data processing
highVerified: 2025-11-09
test data exposure

Data exposure analysis

Evidence
MCP Data FlowTest data transmitted to LLM provider during testing
mediumVerified: 2025-11-09
development privacy

Development privacy assessment

Evidence
Privacy AnalysisAppropriate for development environments with test data
mediumVerified: 2025-11-09
third party data sharing

Data sharing analysis

Evidence
LLM Provider PoliciesTest data shared with LLM provider per their privacy policy
highVerified: 2025-11-09
👁️Trust & Transparency
+
documentation quality

Documentation completeness review

Evidence
MCP Everything DocsComprehensive documentation as reference implementation
highVerified: 2025-11-09
code example quality

Code quality assessment

Evidence
Source CodeExemplary code quality demonstrating best practices
highVerified: 2025-11-09
open source transparency

Source code review

Evidence
GitHub RepositoryFully open source implementation with MIT license
highVerified: 2025-11-09
protocol feature documentation

Feature documentation review

Evidence
MCP Protocol DocsClear documentation of all protocol features with examples
highVerified: 2025-11-09
⚙️Operational Excellence
+
ease of setup

Setup complexity assessment

Evidence
MCP Setup GuideSimple setup for testing and development
highVerified: 2025-11-09
testing utility

Testing utility assessment

Evidence
Implementation AnalysisExcellent for protocol testing and validation
highVerified: 2025-11-09
development value

Developer value assessment

Evidence
Developer FeedbackHighly valuable for MCP server development and learning
highVerified: 2025-11-09
protocol education

Educational value assessment

Evidence
Educational ValueIdeal for learning MCP protocol concepts and patterns
highVerified: 2025-11-09
community adoption

Community activity analysis

Evidence
GitHub CommunityUsed for development/testing; not for production deployments
mediumVerified: 2025-11-09
Strengths
  • +Comprehensive reference implementation of all MCP protocol features
  • +Exemplary code quality demonstrating best practices
  • +Excellent educational resource for MCP protocol learning
  • +Complete documentation with detailed examples
  • +Open source with active Anthropic maintenance
  • +Ideal for protocol testing and validation
Limitations
  • !Explicitly not designed for production deployment
  • !Limited security hardening for testing purposes
  • !Uses mock data; not suitable for real-world applications
  • !May expose all protocol capabilities without restrictions
  • !Not optimized for performance or scale
  • !Requires careful consideration before any production use
Metadata
license: MIT
supported platforms
0: All platforms with Node.js/Python
programming languages
0: TypeScript
1: Python
mcp version: 1.0
github repo: https://github.com/modelcontextprotocol/servers
github stars: 58700
api dependency: None (MCP protocol only)
authentication: None required
first release: 2024-11
maintained by: Anthropic
status: Official - Reference/Testing
transport types
0: stdio
installation methods
0: npm

Use Case Ratings

code generation

Excellent for learning MCP protocol and developing custom servers

customer support

Not suitable for production customer support; testing only

content creation

Limited production applicability; useful for testing content workflows

data analysis

Useful for testing data analysis patterns but not for production

research assistant

Good for researching MCP protocol capabilities and patterns

legal compliance

Not suitable for compliance workloads; testing reference only

healthcare

Not suitable for healthcare applications; development only

financial analysis

Not suitable for financial systems; testing purposes only

education

Excellent for teaching MCP protocol and AI integration patterns

creative writing

Limited production use; helpful for testing creative workflows