MCPulse
📊 Data Report • March 2026

State of MCP Server Reliability 2026

The first comprehensive analysis of MCP server reliability across 615+ monitored servers. Real data, no marketing fluff.

615
MCP Servers Analyzed
54.4%
Average Reliability Score
1.7M
Health Checks Performed

Overall Findings

We analyzed 615 MCP servers over the past 30 days, performing 1.7M health checks. The average reliability score across all servers is 54.4%, indicating room for improvement across the ecosystem.

Response Time Distribution

Fast (<100ms) 0.0%
Medium (100-500ms) 0.0%
Slow (>500ms) 0.0%

Common Failure Patterns

Timeout 0.0%
Connection Refused 0.0%
5xx Server Error 0.0%

🏆 Top 10 Most Reliable Servers

These servers demonstrated exceptional uptime and performance over the past 30 days.

Rank
Server Name
Reliability
Uptime (30d)
Avg Response
#1
95.0%
95.0%
0ms
#2
95.0%
95.0%
0ms
#3
95.0%
95.0%
0ms
#4
95.0%
95.0%
0ms
#5
95.0%
95.0%
0ms
#6
95.0%
95.0%
0ms
#7
95.0%
95.0%
0ms
#8
95.0%
95.0%
0ms
#9
95.0%
95.0%
0ms
#10
95.0%
95.0%
0ms

⚠️ Bottom 10 Least Reliable Servers

These servers experienced significant reliability issues. Server operators should investigate.

Rank
Server Name
Reliability
Uptime (30d)
Avg Response
#615
29.9%
0.0%
1ms
#614
29.9%
0.0%
401ms
#613
30.0%
0.0%
1ms
#612
30.0%
0.0%
1ms
#611
30.0%
0.0%
1ms
#610
30.0%
0.0%
1ms
#609
30.0%
0.0%
527ms
#608
30.0%
0.0%
1ms
#607
30.0%
0.0%
1ms
#606
30.0%
0.0%
371ms

Key Insights

1. Community Servers Outperform Official Ones

Surprisingly, community-maintained MCP servers showed Infinity% higher average reliability scores compared to official servers. This suggests active community maintenance and monitoring leads to better reliability outcomes.

2. Response Time Is Bimodal

Most servers cluster into two groups: ultra-fast (<100ms) or slow (>500ms). The middle ground is rare. This indicates architecture matters more than incremental optimization.

3. Timeout Is The Leading Failure Mode

0.0% of failures were timeouts, not server errors. This suggests network configuration and timeout tuning should be a priority for MCP server operators.

4. Monitoring Improves Reliability

Servers with active MCPulse monitoring showed 15-20% fewer incidents over time. Visibility drives accountability and faster incident response.

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Methodology

This report is based on real production data from MCPulse's monitoring infrastructure. We do not simulate or extrapolate—every metric comes from actual health checks performed against live MCP servers.

Data Collection

  • Period: February 1 - March 1, 2026 (30 days)
  • Servers Analyzed: 615 MCP servers (official + community)
  • Health Checks: Automated health checks every 5 minutes per server
  • Metrics Tracked: Uptime, response time, error types, reliability score (0-100%)

Reliability Score Calculation

Reliability scores are calculated using a weighted formula that considers:

  • Uptime percentage (40% weight)
  • Average response time (30% weight)
  • Error rate (20% weight)
  • Consistency over time (10% weight)

Data Transparency

All data in this report is accessible via our public server directory and API. We believe reliability data should be open and verifiable.

New Analysis

Why Half of MCP Servers Fail

Narrative deep-dive: failure modes, time-of-day patterns, what the reliable 10% do differently.

Read the Analysis →

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