BenchLeader
REMOTE · WWW.BENCHLEADER.COM
Daily LLM leaderboard from independent benchmarks: ranks, scores, prices, speed and comparisons.
Available components
Last scanned (13 hours ago)
Scores higher than 53% of remote servers
Reachable. Last reached 5 Nov 2026.
Category AI and Machine Learning
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security63
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS check failed: the endpoint is reachable over plaintext HTTP. See how to fix → View diagnostics → Fail
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability68
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1008 tokens (~144/item across 7 items; 7 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management17
- Stability observed for 5 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 7 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.
- 3 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.
- 1 Nov 26 +1
- Stability: unverified → 0.03 ▲ functional
- 31 Oct 26 65
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://www.benchleader.com/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=benchleader.com | CN=WE1,O=Google Trust Services,C=US | 21 Oct 2026 | 19 Jan 2027 | ECDSA 256 | ECDSA-SHA256 | 60a3ff3e1e4cd9a4130a9bea4c76f7f6 |
| SANs: benchleader.com, www.benchleader.com, *.www.benchleader.com | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of www.benchleader.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| benchleader.com. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://www.benchleader.com/mcp | Verified | 200 | |
| http (plaintext) | http://www.benchleader.com/mcp | Served over HTTP | 200 |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
about_benchleader About BenchLeader ~44
What BenchLeader is, how the BenchLeader Index is computed, the current method version, data date and update cadence, coverage counts, licence and how to cite it.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
compare_models Compare two models ~145
Head-to-head comparison of two models with BenchLeader's verdict: who leads on quality (a lead is claimed only outside the combined margin of error), price and speed ratios, category-by-category wins, when to choose each, and shared benchmark results. Links the comparison page.
| Name | Type | Req | Description |
|---|---|---|---|
| effort_a | string | – | Reasoning effort for model_a (defaults to its best-ranked configuration). |
| effort_b | string | – | Reasoning effort for model_b (defaults to its best-ranked configuration). |
| model_a | string | yes | First model: id, configuration id, page URL or name. |
| model_b | string | yes | Second model: id, configuration id, page URL or name. |
No output schema declared.
No examples provided.
get_benchmark Benchmark details ~98
One benchmark: what it measures, unit, publisher and source, whether and how much it counts in the BenchLeader Index, status and caveats, and its top models (one row per model, best result first).
| Name | Type | Req | Description |
|---|---|---|---|
| benchmark | string | yes | Benchmark id ("gpqa_diamond"), name ("SWE-bench Verified"), alias or page URL. |
| limit | integer | – | How many top models to return (at most 25). |
No output schema declared.
No examples provided.
get_leaderboard BenchLeader leaderboard ~224
The BenchLeader Index leaderboard of large language models: a daily composite of independent public benchmarks, one row per model (its best reasoning-effort configuration) as on the homepage. Optionally rank by one category score (coding, agentic, reasoning, math, knowledge…), list every model × effort configuration, or filter to open-weights models or one developer. Paged.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | Rank by this category score instead of the overall Index, e.g. coding, agentic, reasoning, math, knowledge, instruction, multimodal, long_context. |
| configurations | boolean | – | List every ranked model × reasoning-effort configuration rather than one row per model. |
| developer | string | – | Only models from this developer, e.g. OpenAI, Anthropic, Google, DeepSeek. |
| limit | integer | – | How many rows to return (at most 100). |
| offset | integer | – | Rows to skip, for paging (use next_offset from the previous page). |
| open_weights_only | boolean | – | Only models with downloadable weights. |
No output schema declared.
No examples provided.
get_model Model details ~145
One model's BenchLeader profile: Index and rank, category scores, list price, speed, latency, context window, its other reasoning-effort configurations, and its strongest independent benchmark results (each with its board rank, publisher and source link).
| Name | Type | Req | Description |
|---|---|---|---|
| effort | string | – | Reasoning-effort configuration to show (none, low, medium, high, xhigh, max…). Defaults to the best-ranked one. |
| model | string | yes | Model id ("claude-opus-5-5"), configuration id ("gpt-6-astra@max"), page URL or name. |
| results_limit | integer | – | How many benchmark results to return (at most 50). |
No output schema declared.
No examples provided.
list_benchmarks List benchmarks ~162
The benchmarks BenchLeader reads: what each measures, publisher, category, whether it feeds the Index (and its weight), how many models it covers, status and caveats. Filter by category or a search query. Paged.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | Only this category, e.g. coding, agentic, reasoning, math, knowledge. |
| in_index_only | boolean | – | Only benchmarks that feed the BenchLeader Index. |
| limit | integer | – | How many benchmarks to return (at most 100). |
| offset | integer | – | Rows to skip, for paging (use next_offset from the previous page). |
| query | string | – | Search benchmark names, ids, aliases and publishers ("swe-bench", "arc", "epoch"). |
No output schema declared.
No examples provided.
search_models Search models ~87
Find models by name, alias, id or developer ("opus", "gemini 4", "deepseek"). Returns each match's id, rank, Index and reasoning-effort configurations, for use with get_model and compare_models.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | How many matches to return (at most 25). |
| query | string | yes | Model name, alias, id or developer. |
No output schema declared.
No examples provided.
How do I install the BenchLeader MCP server?
BenchLeader is a hosted endpoint at https://www.benchleader.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · www.benchleader.com
claude mcp add --transport http com-benchleader-benchleader 'https://www.benchleader.com/mcp'
What is the BenchLeader MCP server?
BenchLeader is an MCP server listed in the public MCP registry as com.benchleader/benchleader. Daily LLM leaderboard from independent benchmarks: ranks, scores, prices, speed and comparisons. This page covers its hosted endpoint (https://www.benchleader.com/mcp).
Is the BenchLeader MCP server safe to use?
BenchLeader scores 68 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the BenchLeader MCP server expose?
BenchLeader exposes 7 tools: get_leaderboard, search_models, get_model, compare_models, list_benchmarks, and 2 more. Their descriptions and schemas cost roughly 905 tokens of context every time the server is loaded.
Does the BenchLeader MCP server require authentication?
No. We connected to BenchLeader without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the BenchLeader MCP server still maintained?
BenchLeader is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.