MCP Maintenance Activity Statistics 2026: 59% Had a Commit Within 180 Days

Recent maintenance is common but not universal: 305 of 516 listings with a known commit date had activity within 180 days of September 23, 2026.

Contents

• Methodology and limitations
• Main findings
• Interpretation
• Practical decision guidance
• How to cite or download the data
• Related MCPtrove research
• FAQ

Methodology and limitations

This report analyzes a 520-listing snapshot from MCPtrove, measured as of September 23, 2026. A last-commit date was available for 516 listings; 4 listings did not have a known date.

The analysis groups known dates into four recency buckets: 0–90 days, 91–180 days, 181–365 days, and older than 365 days. The median age of a known commit date was 145 days.

These dates describe the repository snapshot stored by MCPtrove. They are not a direct measure of product quality, user satisfaction, uptime, or security. A commit may be documentation-only, and a mature project may remain useful during a quiet period. Conversely, a recent commit does not prove that a project is stable, compatible, or well maintained in every dimension.

The dataset should also be read as a listing snapshot, not as a census of the MCP ecosystem. MCPtrove did not survey users, and these figures do not measure every MCP server in existence. A shared repository can appear in multiple listing rows when it powers more than one listed integration or presentation.

Finally, category, auth, transport, official, and verified labels are MCPtrove-normalized fields. They provide a consistent way to compare listings within this dataset, but they should not be treated as universal labels assigned by repository maintainers or protocol authorities.

Main findings

Among listings with a known date, 305 had a commit within 180 days, equivalent to 59% of known-date listings. The broader one-year view is stronger: 428 listings had a commit within 365 days.

The distribution is not concentrated entirely in the most recent bucket. There were 37 listings with activity within 90 days, while 268 listings fell into the 91–180-day range. Another 123 listings were between 181 and 365 days, and 88 listings were older than 365 days.

The official and community groupings show different distributions. Official listings recorded 107 within 180 days and 136 within 365 days, out of 145 known dates. Community listings recorded 198 within 180 days and 292 within 365 days, with known dates for all 371 community listings.

Interpretation

The clearest editorial conclusion is that last-commit recency is a triage signal, not a verdict.

A repository updated recently deserves a closer look, but recency alone does not establish that its server is production-ready. The commit could address documentation, packaging, a minor dependency, or an unrelated development task. It may also leave unresolved compatibility, authentication, reliability, or security concerns.

The reverse is equally important. A project with an older commit is not automatically abandoned. Some servers are mature, stable, and intentionally quiet. A repository may have few changes because its current implementation is dependable, because releases happen less frequently, or because activity takes place outside the commit history represented in this snapshot.

The official-community comparison should also be interpreted carefully. In this snapshot, a larger share of official listings had activity within the measured windows, while community listings represent a larger part of the catalog and therefore have higher absolute counts. The observed difference describes these groups as labeled by MCPtrove; it does not establish that official status causes more frequent maintenance, or that community status causes slower maintenance.

A listing is not necessarily equivalent to a repository. One listing can expose many tools, and a shared repository can appear in multiple listing rows. That means listing-level maintenance statistics describe the catalog users encounter, not a deduplicated count of independent engineering teams or codebases.

For these reasons, MCPtrove recommends using commit age to decide what to inspect next. It is useful for triage because it quickly identifies projects that merit attention, but it should be combined with release cadence, open issues, protocol compatibility, dependency health, documentation quality, and the practical fit of the server for your workflow.

Practical decision guidance

If you are choosing among several MCP servers, begin with maintenance recency as a screening filter. A listing with activity within 180 days may warrant earlier review than one whose latest known commit is older than 365 days. That ordering is a research workflow, not a quality ranking.

Next, inspect the repository’s release history and issue tracker. Look for whether changes are regular, whether important issues receive responses, and whether the project communicates compatibility expectations. A recent commit paired with unresolved installation failures may be less useful than an older but stable release with clear documentation.

Check protocol and dependency health before installation. Confirm that the server supports the client and transport arrangement you actually use. Review authentication requirements, required environment variables, package versions, and external services. Maintenance age cannot answer those questions by itself.

Use MCPtrove’s official collection and best MCP servers guide to inspect maintained options, then compare the specific tools, auth model, transport, and documentation exposed by each listing. “Official” and “verified” are useful normalized labels, but they do not replace technical review.

If you already run MCP servers, use Config Doctor to audit the configuration you have in place. Maintenance recency is most useful when connected to an actual decision: whether to install, upgrade, replace, restrict, or further investigate a server.

How to cite or download the data

Download the raw CSV to reproduce the figures or build a filtered analysis. The CSV is the source for the original figures on this page.

When citing the analysis, preserve the snapshot date and the page URL. The results are time-bound: a repository may receive new commits after the snapshot, and MCPtrove’s listing set may change.

Citation: MCPtrove, “MCP Maintenance Activity Statistics 2026: 59% Had a Commit Within 180 Days,” https://mcptrove.com/research/mcp-maintenance-activity-statistics, accessed September 23, 2026.

Related MCPtrove research

For a different view of project activity and popularity, read MCP GitHub Stars Benchmark. Stars can help describe attention and discoverability, but they should not be confused with maintenance quality.

For classification context, see MCP Official and Verified Statistics. It explains how official and verified labels appear in the MCPtrove catalog.

For the security questions that maintenance age cannot answer, read MCP Security: What Actually Matters. Use it alongside repository inspection and configuration review.

FAQ

How should I read the 180-day result?

The snapshot found 305 of 516 known-date listings with activity within 180 days. Treat that result as a starting point for review, not proof that every recently changed listing is reliable.

Why are there 520 listings but only 516 known dates?

The catalog contains 520 listings, but only 516 had known last-commit dates. The remaining 4 listings are excluded from date-bucket comparisons.

Does a recent commit prove that a server is maintained?

No. A commit can be documentation-only, and recent repository activity does not establish compatibility, security, release quality, or operational reliability.

Why compare official and community listings?

The comparison shows how maintenance recency is distributed across MCPtrove-normalized groups. Official listings had 107 of 145 known dates within 180 days, while community listings had 198 of 371. The figures describe the snapshot and do not establish causation.

What should I check before installing?

Review release cadence, open issues, protocol compatibility, dependencies, authentication, transport, documentation, and the server’s fit for your workflow. Use maintenance age to prioritize that inspection.